SlideShare a Scribd company logo

Raskar ideahexagonapr2010

•Download as PPT, PDF•
•
Camera Culture Group, MIT Media Lab
Camera Culture Group, MIT Media Lab

How to Invent New Ideas: The Hexagon Method

Self Improvement
1 of 42
After X , what is ne X t How to Invent? Ramesh Raskar, MIT Media Lab
Camera Culture Ramesh Raskar Camera Culture MIT Media Lab http://raskar.info http://cameraculture.info Ramesh Raskar Associate Professor
X d X++ X X+Y X X ne X t Ramesh Raskar, MIT Media Lab
Simple Exercise .. ,[object Object],[object Object],What is ne X t
Strategy #1: X d ,[object Object]
X = ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strategy #1: X d ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strategy #2: X+Y ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Prototype camera ,[object Object],Contax medium format camera Kodak 16-megapixel sensor Adaptive Optics microlens array 125 μ square-sided microlenses
Example of digital refocusing
Imaging in Sciences: Computer Tomography ,[object Object]
Self Evaluation of Eye
 
Strategy #3: X Do exactly the opposite
Strategy #3: X Do exactly the opposite ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Fosbury Flip http://en.wikipedia.org/wiki/File:Bundesarchiv_Bild_183-S0305-0030,_Rolf_Beilschmidt.jpg http://en.wikipedia.org/wiki/Dick_Fosbury Straddle Method for High Jump Fosbury Method Replacement of landing surfaces with foam rubber 1968 Olympics: 2.24m
[object Object],[object Object]
Power of the Processor Power of the Network Power of People 1985 1995 2005 2015 Powershifts Frank Moss, MIT Media Lab
Coded Aperture Camera The aperture of a 100 mm lens is modified Rest of the camera is unmodified Insert a coded mask with chosen binary pattern
Captured Blurred Photo
Refocused on Person
Coded-Aperture Imaging ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Less is More Blocking Light == More Information Coding in Time Coding in Space
Larval Trematode Worm
X d X++ X X+Y X X ne X t Ramesh Raskar, MIT Media Lab
Strategy #4: X ,[object Object],[object Object],[object Object]
Strategy #4: X ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strategy #5: X ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strategy #5: X ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Strategy #6: X++ ,[object Object],[object Object],[object Object]
X++ : Add your favorite adjective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
X++ : Add your favorite adjective ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Hexagon Corners for Different Stages ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Other Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],‘ Reducing’ a problem Analogy Generalization Induction Variation of the Problem Auxiliary Problem Pattern Matching (related problem solved before) Specialization Decomposing and Recombining Working backward Draw a Figure Auxiliary Elements
Other Techniques ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],http://www.triz40.com/
Where to find the ‘X’ ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Pitfalls ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
What are Bad ideas to pursue ,[object Object],[object Object],[object Object],http://www.flickr.com/photos/rsilfver/178134761/
What are Bad ideas to pursue ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
There is more .. ,[object Object],[object Object],[object Object],[object Object]
Acknowledgements ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
X d X++ X X+Y X X ne X t Ramesh Raskar, MIT Media Lab

Recommended

Raskar 2012, Idea Hexagon
Raskar 2012, Idea HexagonRaskar 2012, Idea Hexagon
Raskar 2012, Idea HexagonCamera Culture Group, MIT Media Lab
 
Raskar PhD and MS Thesis Guidance
Raskar PhD and MS Thesis GuidanceRaskar PhD and MS Thesis Guidance
Raskar PhD and MS Thesis GuidanceCamera Culture Group, MIT Media Lab
 
Machine Learning
Machine LearningMachine Learning
Machine LearningAnastasia Jakubow
 
Practical Human-in-the-Loop Machine Learning
Practical Human-in-the-Loop Machine Learning Practical Human-in-the-Loop Machine Learning
Practical Human-in-the-Loop Machine LearningAmazon Web Services
 
Ethical Issues in Machine Learning Algorithms. (Part 3)
Ethical Issues in Machine Learning Algorithms. (Part 3)Ethical Issues in Machine Learning Algorithms. (Part 3)
Ethical Issues in Machine Learning Algorithms. (Part 3)Vladimir Kanchev
 
기업의 미래를 바꾸는 AI 플랫폼
기업의 미래를 바꾸는 AI 플랫폼기업의 미래를 바꾸는 AI 플랫폼
기업의 미래를 바꾸는 AI 플랫폼BESPIN GLOBAL
 
AI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneyAI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneySri Ambati
 
Ethics in the use of Data & AI
Ethics in the use of Data & AI Ethics in the use of Data & AI
Ethics in the use of Data & AI Kalilur Rahman
 

Recommended

Raskar 2012, Idea Hexagon
Raskar 2012, Idea HexagonRaskar 2012, Idea Hexagon
Raskar 2012, Idea HexagonCamera Culture Group, MIT Media Lab
 
Raskar PhD and MS Thesis Guidance
Raskar PhD and MS Thesis GuidanceRaskar PhD and MS Thesis Guidance
Raskar PhD and MS Thesis GuidanceCamera Culture Group, MIT Media Lab
 
Machine Learning
Machine LearningMachine Learning
Machine LearningAnastasia Jakubow
 
Practical Human-in-the-Loop Machine Learning
Practical Human-in-the-Loop Machine Learning Practical Human-in-the-Loop Machine Learning
Practical Human-in-the-Loop Machine LearningAmazon Web Services
 
Ethical Issues in Machine Learning Algorithms. (Part 3)
Ethical Issues in Machine Learning Algorithms. (Part 3)Ethical Issues in Machine Learning Algorithms. (Part 3)
Ethical Issues in Machine Learning Algorithms. (Part 3)Vladimir Kanchev
 
기업의 미래를 바꾸는 AI 플랫폼
기업의 미래를 바꾸는 AI 플랫폼기업의 미래를 바꾸는 AI 플랫폼
기업의 미래를 바꾸는 AI 플랫폼BESPIN GLOBAL
 
AI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneyAI Foundations Course Module 1 - An AI Transformation Journey
AI Foundations Course Module 1 - An AI Transformation JourneySri Ambati
 
Ethics in the use of Data & AI
Ethics in the use of Data & AI Ethics in the use of Data & AI
Ethics in the use of Data & AI Kalilur Rahman
 
State of AI Report 2022 - ONLINE.pdf
State of AI Report 2022 - ONLINE.pdfState of AI Report 2022 - ONLINE.pdf
State of AI Report 2022 - ONLINE.pdfvizologi
 
Raskar Thesis Guidance 2011
Raskar Thesis Guidance 2011Raskar Thesis Guidance 2011
Raskar Thesis Guidance 2011Camera Culture Group, MIT Media Lab
 
Governance of trustworthy AI
Governance of trustworthy AIGovernance of trustworthy AI
Governance of trustworthy AIsamossummit
 
Generative AI at the edge.pdf
Generative AI at the edge.pdfGenerative AI at the edge.pdf
Generative AI at the edge.pdfQualcomm Research
 
eBay Experimentation Platform on Hadoop
eBay Experimentation Platform on HadoopeBay Experimentation Platform on Hadoop
eBay Experimentation Platform on HadoopTony Ng
 
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...SlideTeam
 
State of AI Report 2022 - ONLINE.pptx
State of AI Report 2022 - ONLINE.pptxState of AI Report 2022 - ONLINE.pptx
State of AI Report 2022 - ONLINE.pptxEithuThutun
 
Jay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIJay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIAI Frontiers
 
Artificial Intelligence: What Is Reinforcement Learning?
Artificial Intelligence: What Is Reinforcement Learning?Artificial Intelligence: What Is Reinforcement Learning?
Artificial Intelligence: What Is Reinforcement Learning?Bernard Marr
 
Introduction of Artificial Intelligence and Machine Learning
Introduction of Artificial Intelligence and Machine Learning Introduction of Artificial Intelligence and Machine Learning
Introduction of Artificial Intelligence and Machine Learning bigdata trunk
 
Deep Learning Explained
Deep Learning ExplainedDeep Learning Explained
Deep Learning ExplainedMelanie Swan
 
Responsible AI
Responsible AIResponsible AI
Responsible AIAnand Rao
 
HRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
HRNET : Deep High-Resolution Representation Learning for Human Pose EstimationHRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
HRNET : Deep High-Resolution Representation Learning for Human Pose Estimationtaeseon ryu
 
Movie Recommendation System - MovieLens Dataset
Movie Recommendation System - MovieLens DatasetMovie Recommendation System - MovieLens Dataset
Movie Recommendation System - MovieLens DatasetJagruti Joshi
 
How to Build Recommender System with Content based Filtering
How to Build Recommender System with Content based FilteringHow to Build Recommender System with Content based Filtering
How to Build Recommender System with Content based FilteringVõ Duy Tuấn
 
Modern Recommendation for Advanced Practitioners
Modern Recommendation for Advanced PractitionersModern Recommendation for Advanced Practitioners
Modern Recommendation for Advanced PractitionersFlavian Vasile
 
Geometric Deep Learning
Geometric Deep Learning Geometric Deep Learning
Geometric Deep Learning PetteriTeikariPhD
 
Technology for everyone - AI ethics and Bias
Technology for everyone - AI ethics and BiasTechnology for everyone - AI ethics and Bias
Technology for everyone - AI ethics and BiasMarion Mulder
 
How to fine-tune and develop your own large language model.pptx
How to fine-tune and develop your own large language model.pptxHow to fine-tune and develop your own large language model.pptx
How to fine-tune and develop your own large language model.pptxKnoldus Inc.
 
AI Product Thinking for Product Managers
AI Product Thinking for Product Managers AI Product Thinking for Product Managers
AI Product Thinking for Product Managers Saurabh Kaushik
 
How to give a talk, Control the curve of excitement and get rid of the dreade...
How to give a talk, Control the curve of excitement and get rid of the dreade...How to give a talk, Control the curve of excitement and get rid of the dreade...
How to give a talk, Control the curve of excitement and get rid of the dreade...Camera Culture Group, MIT Media Lab
 
Raskar 6Sight Keynote Talk Nov09
Raskar 6Sight Keynote Talk Nov09Raskar 6Sight Keynote Talk Nov09
Raskar 6Sight Keynote Talk Nov09Camera Culture Group, MIT Media Lab
 

More Related Content

What's hot

State of AI Report 2022 - ONLINE.pdf
State of AI Report 2022 - ONLINE.pdfState of AI Report 2022 - ONLINE.pdf
State of AI Report 2022 - ONLINE.pdfvizologi
 
Governance of trustworthy AI
Governance of trustworthy AIGovernance of trustworthy AI
Governance of trustworthy AIsamossummit
 
Generative AI at the edge.pdf
Generative AI at the edge.pdfGenerative AI at the edge.pdf
Generative AI at the edge.pdfQualcomm Research
 
eBay Experimentation Platform on Hadoop
eBay Experimentation Platform on HadoopeBay Experimentation Platform on Hadoop
eBay Experimentation Platform on HadoopTony Ng
 
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...SlideTeam
 
State of AI Report 2022 - ONLINE.pptx
State of AI Report 2022 - ONLINE.pptxState of AI Report 2022 - ONLINE.pptx
State of AI Report 2022 - ONLINE.pptxEithuThutun
 
Jay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIJay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIAI Frontiers
 
Artificial Intelligence: What Is Reinforcement Learning?
Artificial Intelligence: What Is Reinforcement Learning?Artificial Intelligence: What Is Reinforcement Learning?
Artificial Intelligence: What Is Reinforcement Learning?Bernard Marr
 
Introduction of Artificial Intelligence and Machine Learning
Introduction of Artificial Intelligence and Machine Learning Introduction of Artificial Intelligence and Machine Learning
Introduction of Artificial Intelligence and Machine Learning bigdata trunk
 
Deep Learning Explained
Deep Learning ExplainedDeep Learning Explained
Deep Learning ExplainedMelanie Swan
 
Responsible AI
Responsible AIResponsible AI
Responsible AIAnand Rao
 
HRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
HRNET : Deep High-Resolution Representation Learning for Human Pose EstimationHRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
HRNET : Deep High-Resolution Representation Learning for Human Pose Estimationtaeseon ryu
 
Movie Recommendation System - MovieLens Dataset
Movie Recommendation System - MovieLens DatasetMovie Recommendation System - MovieLens Dataset
Movie Recommendation System - MovieLens DatasetJagruti Joshi
 
How to Build Recommender System with Content based Filtering
How to Build Recommender System with Content based FilteringHow to Build Recommender System with Content based Filtering
How to Build Recommender System with Content based FilteringVõ Duy Tuấn
 
Modern Recommendation for Advanced Practitioners
Modern Recommendation for Advanced PractitionersModern Recommendation for Advanced Practitioners
Modern Recommendation for Advanced PractitionersFlavian Vasile
 
Technology for everyone - AI ethics and Bias
Technology for everyone - AI ethics and BiasTechnology for everyone - AI ethics and Bias
Technology for everyone - AI ethics and BiasMarion Mulder
 
How to fine-tune and develop your own large language model.pptx
How to fine-tune and develop your own large language model.pptxHow to fine-tune and develop your own large language model.pptx
How to fine-tune and develop your own large language model.pptxKnoldus Inc.
 
AI Product Thinking for Product Managers
AI Product Thinking for Product Managers AI Product Thinking for Product Managers
AI Product Thinking for Product Managers Saurabh Kaushik
 

What's hot (20)

State of AI Report 2022 - ONLINE.pdf
State of AI Report 2022 - ONLINE.pdfState of AI Report 2022 - ONLINE.pdf
State of AI Report 2022 - ONLINE.pdf
 
Raskar Thesis Guidance 2011
Raskar Thesis Guidance 2011Raskar Thesis Guidance 2011
Raskar Thesis Guidance 2011
 
Governance of trustworthy AI
Governance of trustworthy AIGovernance of trustworthy AI
Governance of trustworthy AI
 
Generative AI at the edge.pdf
Generative AI at the edge.pdfGenerative AI at the edge.pdf
Generative AI at the edge.pdf
 
eBay Experimentation Platform on Hadoop
eBay Experimentation Platform on HadoopeBay Experimentation Platform on Hadoop
eBay Experimentation Platform on Hadoop
 
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
Reinforcement Learning In AI Powerpoint Presentation Slide Templates Complete...
 
State of AI Report 2022 - ONLINE.pptx
State of AI Report 2022 - ONLINE.pptxState of AI Report 2022 - ONLINE.pptx
State of AI Report 2022 - ONLINE.pptx
 
Jay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AIJay Yagnik at AI Frontiers : A History Lesson on AI
Jay Yagnik at AI Frontiers : A History Lesson on AI
 
Artificial Intelligence: What Is Reinforcement Learning?
Artificial Intelligence: What Is Reinforcement Learning?Artificial Intelligence: What Is Reinforcement Learning?
Artificial Intelligence: What Is Reinforcement Learning?
 
Introduction of Artificial Intelligence and Machine Learning
Introduction of Artificial Intelligence and Machine Learning Introduction of Artificial Intelligence and Machine Learning
Introduction of Artificial Intelligence and Machine Learning
 
Deep Learning Explained
Deep Learning ExplainedDeep Learning Explained
Deep Learning Explained
 
Responsible AI
Responsible AIResponsible AI
Responsible AI
 
HRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
HRNET : Deep High-Resolution Representation Learning for Human Pose EstimationHRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
HRNET : Deep High-Resolution Representation Learning for Human Pose Estimation
 
Movie Recommendation System - MovieLens Dataset
Movie Recommendation System - MovieLens DatasetMovie Recommendation System - MovieLens Dataset
Movie Recommendation System - MovieLens Dataset
 
How to Build Recommender System with Content based Filtering
How to Build Recommender System with Content based FilteringHow to Build Recommender System with Content based Filtering
How to Build Recommender System with Content based Filtering
 
Modern Recommendation for Advanced Practitioners
Modern Recommendation for Advanced PractitionersModern Recommendation for Advanced Practitioners
Modern Recommendation for Advanced Practitioners
 
Geometric Deep Learning
Geometric Deep Learning Geometric Deep Learning
Geometric Deep Learning
 
Technology for everyone - AI ethics and Bias
Technology for everyone - AI ethics and BiasTechnology for everyone - AI ethics and Bias
Technology for everyone - AI ethics and Bias
 
How to fine-tune and develop your own large language model.pptx
How to fine-tune and develop your own large language model.pptxHow to fine-tune and develop your own large language model.pptx
How to fine-tune and develop your own large language model.pptx
 
AI Product Thinking for Product Managers
AI Product Thinking for Product Managers AI Product Thinking for Product Managers
AI Product Thinking for Product Managers
 

Viewers also liked

How to give a talk, Control the curve of excitement and get rid of the dreade...
How to give a talk, Control the curve of excitement and get rid of the dreade...How to give a talk, Control the curve of excitement and get rid of the dreade...
How to give a talk, Control the curve of excitement and get rid of the dreade...Camera Culture Group, MIT Media Lab
 
Six Sigma Introduction
Six Sigma IntroductionSix Sigma Introduction
Six Sigma IntroductionAbhishek Kumar
 
Combining BPM and 6-Sigma - Rudimentary Introduction
Combining BPM and 6-Sigma - Rudimentary IntroductionCombining BPM and 6-Sigma - Rudimentary Introduction
Combining BPM and 6-Sigma - Rudimentary IntroductionVincenz Klemt
 
Pharmaceutical 6 Sigma and QbD May 2005 Ball State University
Pharmaceutical 6 Sigma and QbD May 2005 Ball State UniversityPharmaceutical 6 Sigma and QbD May 2005 Ball State University
Pharmaceutical 6 Sigma and QbD May 2005 Ball State UniversityAjaz Hussain
 
blue white selection
blue white selectionblue white selection
blue white selectiontejondaru
 
How to come up with new research ideas
How to come up with new research ideasHow to come up with new research ideas
How to come up with new research ideasJia-Bin Huang
 
Basic Six Sigma Presentation
Basic Six Sigma PresentationBasic Six Sigma Presentation
Basic Six Sigma Presentationvivekissar
 

Viewers also liked (16)

How to give a talk, Control the curve of excitement and get rid of the dreade...
How to give a talk, Control the curve of excitement and get rid of the dreade...How to give a talk, Control the curve of excitement and get rid of the dreade...
How to give a talk, Control the curve of excitement and get rid of the dreade...
 
Raskar 6Sight Keynote Talk Nov09
Raskar 6Sight Keynote Talk Nov09Raskar 6Sight Keynote Talk Nov09
Raskar 6Sight Keynote Talk Nov09
 
Raskar Entrepreneurship in Imaging, Imaging Ventures, CVPR 2012
Raskar Entrepreneurship in Imaging, Imaging Ventures, CVPR 2012Raskar Entrepreneurship in Imaging, Imaging Ventures, CVPR 2012
Raskar Entrepreneurship in Imaging, Imaging Ventures, CVPR 2012
 
Six Sigma Introduction
Six Sigma IntroductionSix Sigma Introduction
Six Sigma Introduction
 
Combining BPM and 6-Sigma - Rudimentary Introduction
Combining BPM and 6-Sigma - Rudimentary IntroductionCombining BPM and 6-Sigma - Rudimentary Introduction
Combining BPM and 6-Sigma - Rudimentary Introduction
 
Pharmaceutical 6 Sigma and QbD May 2005 Ball State University
Pharmaceutical 6 Sigma and QbD May 2005 Ball State UniversityPharmaceutical 6 Sigma and QbD May 2005 Ball State University
Pharmaceutical 6 Sigma and QbD May 2005 Ball State University
 
Raskar stanfordextremecompuimagingapr2016
Raskar stanfordextremecompuimagingapr2016Raskar stanfordextremecompuimagingapr2016
Raskar stanfordextremecompuimagingapr2016
 
blue white selection
blue white selectionblue white selection
blue white selection
 
Limitations of TQM
Limitations of TQMLimitations of TQM
Limitations of TQM
 
Introduction to Camera Challenges - Ramesh Raskar
Introduction to Camera Challenges - Ramesh RaskarIntroduction to Camera Challenges - Ramesh Raskar
Introduction to Camera Challenges - Ramesh Raskar
 
What Is 6 Sigma
What Is 6 SigmaWhat Is 6 Sigma
What Is 6 Sigma
 
How to come up with new research ideas
How to come up with new research ideasHow to come up with new research ideas
How to come up with new research ideas
 
Six Sigma
Six SigmaSix Sigma
Six Sigma
 
six sigma ppt
six sigma pptsix sigma ppt
six sigma ppt
 
Six sigma ppt
Six sigma pptSix sigma ppt
Six sigma ppt
 
Basic Six Sigma Presentation
Basic Six Sigma PresentationBasic Six Sigma Presentation
Basic Six Sigma Presentation
 

Similar to Raskar ideahexagonapr2010

Triz - Product Design & Development
Triz - Product Design & DevelopmentTriz - Product Design & Development
Triz - Product Design & DevelopmentQRCE
 
Analysis report brief
Analysis report briefAnalysis report brief
Analysis report briefR. Sosa
 
Simulation.3.16.10
Simulation.3.16.10Simulation.3.16.10
Simulation.3.16.10janminnich
 
Ux Camp CPH 2013
Ux Camp CPH 2013Ux Camp CPH 2013
Ux Camp CPH 2013Eric Reiss
 
Increasing Innovation IQ
Increasing Innovation IQIncreasing Innovation IQ
Increasing Innovation IQMaria Thompson
 
Worker Productivity 20230628 v1.pptx
Worker Productivity 20230628 v1.pptxWorker Productivity 20230628 v1.pptx
Worker Productivity 20230628 v1.pptxISSIP
 
planet-handheldlearning08
planet-handheldlearning08planet-handheldlearning08
planet-handheldlearning08Yishay Mor
 
Short TRIZ Workshop for the University of the Philippines
Short TRIZ Workshop for the University of the PhilippinesShort TRIZ Workshop for the University of the Philippines
Short TRIZ Workshop for the University of the PhilippinesRichard Platt
 
人工智慧與物聯網的創新與服務模式
人工智慧與物聯網的創新與服務模式人工智慧與物聯網的創新與服務模式
人工智慧與物聯網的創新與服務模式Craig Chao
 
Google Cloud - Google's vision on AI
Google Cloud - Google's vision on AIGoogle Cloud - Google's vision on AI
Google Cloud - Google's vision on AIBigDataExpo
 
Chatbots in 2017 -- Ithaca Talk Dec 6
Chatbots in 2017 -- Ithaca Talk Dec 6Chatbots in 2017 -- Ithaca Talk Dec 6
Chatbots in 2017 -- Ithaca Talk Dec 6Paul Houle
 
Machine Learning & AI - 2022 intro for pre-college students.pdf
Machine Learning & AI - 2022 intro for pre-college students.pdfMachine Learning & AI - 2022 intro for pre-college students.pdf
Machine Learning & AI - 2022 intro for pre-college students.pdfEd Fernandez
 
Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)
Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)
Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)Aditya Yadav
 
Operations Research ppt
Operations Research pptOperations Research ppt
Operations Research pptbheema raju
 
00 - 30 Dec - Introduction
00 - 30 Dec - Introduction00 - 30 Dec - Introduction
00 - 30 Dec - IntroductionNeeldhara Misra
 
Raskar Emtech2010 Mar Final
Raskar Emtech2010 Mar FinalRaskar Emtech2010 Mar Final
Raskar Emtech2010 Mar FinalEmTech
 
Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...
Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...
Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...Camera Culture Group, MIT Media Lab
 

Similar to Raskar ideahexagonapr2010 (20)

Triz - Product Design & Development
Triz - Product Design & DevelopmentTriz - Product Design & Development
Triz - Product Design & Development
 
Analysis report brief
Analysis report briefAnalysis report brief
Analysis report brief
 
Simulation.3.16.10
Simulation.3.16.10Simulation.3.16.10
Simulation.3.16.10
 
Triz
TrizTriz
Triz
 
Ux Camp CPH 2013
Ux Camp CPH 2013Ux Camp CPH 2013
Ux Camp CPH 2013
 
Increasing Innovation IQ
Increasing Innovation IQIncreasing Innovation IQ
Increasing Innovation IQ
 
Worker Productivity 20230628 v1.pptx
Worker Productivity 20230628 v1.pptxWorker Productivity 20230628 v1.pptx
Worker Productivity 20230628 v1.pptx
 
planet-handheldlearning08
planet-handheldlearning08planet-handheldlearning08
planet-handheldlearning08
 
Yishay Mor
Yishay MorYishay Mor
Yishay Mor
 
Short TRIZ Workshop for the University of the Philippines
Short TRIZ Workshop for the University of the PhilippinesShort TRIZ Workshop for the University of the Philippines
Short TRIZ Workshop for the University of the Philippines
 
人工智慧與物聯網的創新與服務模式
人工智慧與物聯網的創新與服務模式人工智慧與物聯網的創新與服務模式
人工智慧與物聯網的創新與服務模式
 
Google Cloud - Google's vision on AI
Google Cloud - Google's vision on AIGoogle Cloud - Google's vision on AI
Google Cloud - Google's vision on AI
 
Chatbots in 2017 -- Ithaca Talk Dec 6
Chatbots in 2017 -- Ithaca Talk Dec 6Chatbots in 2017 -- Ithaca Talk Dec 6
Chatbots in 2017 -- Ithaca Talk Dec 6
 
Machine Learning & AI - 2022 intro for pre-college students.pdf
Machine Learning & AI - 2022 intro for pre-college students.pdfMachine Learning & AI - 2022 intro for pre-college students.pdf
Machine Learning & AI - 2022 intro for pre-college students.pdf
 
Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)
Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)
Automatski - NP-Complete - TSP - Travelling Salesman Problem Solved in O(N^4)
 
Operations Research ppt
Operations Research pptOperations Research ppt
Operations Research ppt
 
00 - 30 Dec - Introduction
00 - 30 Dec - Introduction00 - 30 Dec - Introduction
00 - 30 Dec - Introduction
 
Raskar Emtech2010 Mar Final
Raskar Emtech2010 Mar FinalRaskar Emtech2010 Mar Final
Raskar Emtech2010 Mar Final
 
Raskar Emtech2010 Mar Final
Raskar Emtech2010 Mar FinalRaskar Emtech2010 Mar Final
Raskar Emtech2010 Mar Final
 
Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...
Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...
Raskar, Rank and Sparsity in Computational Photography and Computational Ligh...
 

More from Camera Culture Group, MIT Media Lab

God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar
God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar
God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar Camera Culture Group, MIT Media Lab
 
Dont follow the rainbow: How to avoid career traps that can lead you to fail,...
Dont follow the rainbow: How to avoid career traps that can lead you to fail,...Dont follow the rainbow: How to avoid career traps that can lead you to fail,...
Dont follow the rainbow: How to avoid career traps that can lead you to fail,...Camera Culture Group, MIT Media Lab
 
Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019
Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019
Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019Camera Culture Group, MIT Media Lab
 
Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...
Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...
Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...Camera Culture Group, MIT Media Lab
 

More from Camera Culture Group, MIT Media Lab (20)

Raskar Sig2017 Siggraph Achievement Award Talk
Raskar Sig2017 Siggraph Achievement Award TalkRaskar Sig2017 Siggraph Achievement Award Talk
Raskar Sig2017 Siggraph Achievement Award Talk
 
Lost Decade of Computational Photography
Lost Decade of Computational PhotographyLost Decade of Computational Photography
Lost Decade of Computational Photography
 
Covid Safe Paths
Covid Safe PathsCovid Safe Paths
Covid Safe Paths
 
God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar
God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar
God’s Eye View: Will global AI empower us or destroy us? | Ramesh Raskar
 
Dont follow the rainbow: How to avoid career traps that can lead you to fail,...
Dont follow the rainbow: How to avoid career traps that can lead you to fail,...Dont follow the rainbow: How to avoid career traps that can lead you to fail,...
Dont follow the rainbow: How to avoid career traps that can lead you to fail,...
 
Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019
Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019
Making Invisible Visible, Ramesh Raskar Keynote at Embedded Vision 2019
 
Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019
Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019
Augmented Surgeons: AI AR for Anatome, Raskar Aria 2019
 
Geo-spatial Research: Transition from Analysis to Synthesis
Geo-spatial Research: Transition from Analysis to SynthesisGeo-spatial Research: Transition from Analysis to Synthesis
Geo-spatial Research: Transition from Analysis to Synthesis
 
Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...
Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...
Split Learning versus Federated Learning for Data Transparent ML, Camera Cult...
 
Unspoken Challenges in AR and XR
Unspoken Challenges in AR and XRUnspoken Challenges in AR and XR
Unspoken Challenges in AR and XR
 
What is SIGGRAPH NEXT? Intro by Ramesh Raskar
What is SIGGRAPH NEXT? Intro by Ramesh RaskarWhat is SIGGRAPH NEXT? Intro by Ramesh Raskar
What is SIGGRAPH NEXT? Intro by Ramesh Raskar
 
What is Media in MIT Media Lab, Why 'Camera Culture'
What is Media in MIT Media Lab, Why 'Camera Culture'What is Media in MIT Media Lab, Why 'Camera Culture'
What is Media in MIT Media Lab, Why 'Camera Culture'
 
Raskar UIST Keynote 2015 November
Raskar UIST Keynote 2015 NovemberRaskar UIST Keynote 2015 November
Raskar UIST Keynote 2015 November
 
Multiview Imaging HW Overview
Multiview Imaging HW OverviewMultiview Imaging HW Overview
Multiview Imaging HW Overview
 
Time of Flight Cameras - Refael Whyte
Time of Flight Cameras - Refael WhyteTime of Flight Cameras - Refael Whyte
Time of Flight Cameras - Refael Whyte
 
Leap Motion Development (Rohan Puri)
Leap Motion Development (Rohan Puri)Leap Motion Development (Rohan Puri)
Leap Motion Development (Rohan Puri)
 
Compressed Sensing - Achuta Kadambi
Compressed Sensing - Achuta KadambiCompressed Sensing - Achuta Kadambi
Compressed Sensing - Achuta Kadambi
 
Coded Photography - Ramesh Raskar
Coded Photography - Ramesh RaskarCoded Photography - Ramesh Raskar
Coded Photography - Ramesh Raskar
 
Stereo and 3D Displays - Matt Hirsch
Stereo and 3D Displays - Matt HirschStereo and 3D Displays - Matt Hirsch
Stereo and 3D Displays - Matt Hirsch
 
Developing "True HDR" for the iPhone
Developing "True HDR" for the iPhoneDeveloping "True HDR" for the iPhone
Developing "True HDR" for the iPhone
 

Recently uploaded

Call Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In Delhi
Call Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In DelhiCall Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In Delhi
Call Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In DelhiSoniyaSingh
 
Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
办理西悉尼大学毕业证成绩单、制作假文凭
办理西悉尼大学毕业证成绩单、制作假文凭办理西悉尼大学毕业证成绩单、制作假文凭
办理西悉尼大学毕业证成绩单、制作假文凭o8wvnojp
 
Call Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 Avilable
Call Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 AvilableCall Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 Avilable
Call Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 Avilabledollysharma2066
 
（南达科他州立大学毕业证学位证成绩单-永久存档）
（南达科他州立大学毕业证学位证成绩单-永久存档）（南达科他州立大学毕业证学位证成绩单-永久存档）
（南达科他州立大学毕业证学位证成绩单-永久存档）oannq
 
(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts
(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts
(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ EscortsDelhi Escorts Service
 
西伦敦大学毕业证学位证成绩单-怎么样做
西伦敦大学毕业证学位证成绩单-怎么样做西伦敦大学毕业证学位证成绩单-怎么样做
西伦敦大学毕业证学位证成绩单-怎么样做j5bzwet6
 
南新罕布什尔大学毕业证学位证成绩单-学历认证
南新罕布什尔大学毕业证学位证成绩单-学历认证南新罕布什尔大学毕业证学位证成绩单-学历认证
南新罕布什尔大学毕业证学位证成绩单-学历认证kbdhl05e
 
Inspiring Through Words Power of Inspiration.pptx
Inspiring Through Words Power of Inspiration.pptxInspiring Through Words Power of Inspiration.pptx
Inspiring Through Words Power of Inspiration.pptxShubham Rawat
 
E J Waggoner against Kellogg's Pantheism 8.pptx
E J Waggoner against Kellogg's Pantheism 8.pptxE J Waggoner against Kellogg's Pantheism 8.pptx
E J Waggoner against Kellogg's Pantheism 8.pptxJackieSparrow3
 
Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...
Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...
Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...Authentic No 1 Amil Baba In Pakistan
 

Recently uploaded (12)

Call Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In Delhi
Call Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In DelhiCall Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In Delhi
Call Girls In Dwarka Sub City ☎️7838079806 ✅ 💯Call Girls In Delhi
 
Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Govindpuri Delhi 💯Call Us 🔝8264348440🔝
 
办理西悉尼大学毕业证成绩单、制作假文凭
办理西悉尼大学毕业证成绩单、制作假文凭办理西悉尼大学毕业证成绩单、制作假文凭
办理西悉尼大学毕业证成绩单、制作假文凭
 
Call Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 Avilable
Call Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 AvilableCall Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 Avilable
Call Girls In Karkardooma 83770 87607 Just-Dial Escorts Service 24X7 Avilable
 
（南达科他州立大学毕业证学位证成绩单-永久存档）
（南达科他州立大学毕业证学位证成绩单-永久存档）（南达科他州立大学毕业证学位证成绩单-永久存档）
（南达科他州立大学毕业证学位证成绩单-永久存档）
 
(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts
(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts
(No.1)↠Young Call Girls in Sikanderpur (Gurgaon) ꧁❤ 9711911712 ❤꧂ Escorts
 
西伦敦大学毕业证学位证成绩单-怎么样做
西伦敦大学毕业证学位证成绩单-怎么样做西伦敦大学毕业证学位证成绩单-怎么样做
西伦敦大学毕业证学位证成绩单-怎么样做
 
Model Call Girl in Lado Sarai Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Lado Sarai Delhi reach out to us at 🔝9953056974🔝Model Call Girl in Lado Sarai Delhi reach out to us at 🔝9953056974🔝
Model Call Girl in Lado Sarai Delhi reach out to us at 🔝9953056974🔝
 
南新罕布什尔大学毕业证学位证成绩单-学历认证
南新罕布什尔大学毕业证学位证成绩单-学历认证南新罕布什尔大学毕业证学位证成绩单-学历认证
南新罕布什尔大学毕业证学位证成绩单-学历认证
 
Inspiring Through Words Power of Inspiration.pptx
Inspiring Through Words Power of Inspiration.pptxInspiring Through Words Power of Inspiration.pptx
Inspiring Through Words Power of Inspiration.pptx
 
E J Waggoner against Kellogg's Pantheism 8.pptx
E J Waggoner against Kellogg's Pantheism 8.pptxE J Waggoner against Kellogg's Pantheism 8.pptx
E J Waggoner against Kellogg's Pantheism 8.pptx
 
Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...
Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...
Authentic No 1 Amil Baba In Pakistan Amil Baba In Faisalabad Amil Baba In Kar...
 

Raskar ideahexagonapr2010

Editor's Notes

  1. Six ways of coming up with new ideas based on an idea ‘X’. Ramesh Raskar Associate Professor MIT Media Lab http://raskar.info http://cameraculture.info http://raskar.info http://cameraculture.info
  2. Ramesh Raskar Associate Professor MIT Media Lab http://raskar.info http://cameraculture.info
  3. X up: Airbags for car, for helicopter
  4. Beautiful theory but strikingly simple implementation .. Combination of simple optics and some intelligent software Based on wavefront manipulation
  5. Moving towards penny diagnostics Click Diagnostics Hardware app store not just software app store, we have seen this with Wii and Guitarhero
  6. Reversibly encode all the information in this otherwise blurred photo
  7. The glint out of focus shows the unusual pattern.
  8. Shielded by screening pigment. The visual organ provides no spatial information, but by comparing the signal from 2 organs or by moving the body, the worm can navigate towards brighter or darker places. It can also keep certain body orientation. Despite lack of spatial vision, this is an evolutionary forerunner to real eyes.