SlideShare una empresa de Scribd logo
1 de 124
Use of Specularities and Motion in the Extraction of Surface Shape Damian Gordon [email_address]
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Specular Surface ,[object Object]
Image Geometry ________________________
Image Formation ,[object Object],[object Object]
Image Formation
Image Formation ,[object Object],[object Object]
Image Formation
Perspective Projection ,[object Object],[object Object],[object Object]
Image Irradiance (Brightness) ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Image Irradiance ,[object Object],[object Object],[object Object],[object Object]
Image Irradiance ,[object Object],[object Object],[object Object],[object Object]
Types of Reflectance ,[object Object],[object Object],[object Object],[object Object]
Lambertian Reflectance  ,[object Object],[object Object],[object Object]
Lambertian Reflectance -  Point Source ,[object Object],[object Object],[object Object]
Lambertian Reflectance -  Uniform Source ,[object Object],[object Object],[object Object]
Specular Reflectance  ,[object Object],[object Object],[object Object]
Specular Reflectance  ,[object Object],[object Object],[object Object]
Hybrid Reflectance  ,[object Object],[object Object],[object Object],[object Object]
Surface Orientation ,[object Object],[object Object],[object Object],[object Object]
Surface Orientation ,[object Object],[object Object],[object Object]
Reflectance Map ,[object Object],[object Object]
Reflectance Map ,[object Object],[object Object]
Shape from Shading ,[object Object],[object Object]
Shape from Shading ,[object Object],[object Object],[object Object]
Shape from Shading
Photometric Stereo ,[object Object],[object Object],[object Object]
Photometric Stereo ,[object Object],[object Object],[object Object]
Photometric Stereo ________________________
Determining Surface Orientations of Specular Surfaces by Using the Photometric Stereo Method Katsusi Ikeuchi Ministry of International Trade in Industry, Japan
Introduction ,[object Object],[object Object],[object Object]
Image Radiance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Image Radiance ,[object Object],[object Object]
System Implementation ,[object Object],[object Object],[object Object]
Off-Line Job ,[object Object],[object Object],[object Object],[object Object]
Off-Line Job
On-Line Job ,[object Object],[object Object],[object Object]
Results ,[object Object],[object Object]
Extracting the Shape and Roughness of Specular Lobe Objects Using Four Light Photometric Stereo Fredric Solomon Katsushi Ikeuchi Carnegie Mellon
Structured Highlights __________________________
Structured Highlight Inspection of Specular Surfaces Arthur C. Sanderson Lee E. Weiss Shree K. Nayar Carnegie Mellon
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object]
Introduction ,[object Object],[object Object]
Lambertian Reflectance ,[object Object],[object Object],[object Object],[object Object],[object Object]
Hybrid Reflectance ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Structured Hightlight Inspection ,[object Object],[object Object]
Camera Models ,[object Object],[object Object],[object Object]
Perspective Camera Model ,[object Object],[object Object]
Orthographic Projection Model ,[object Object]
“ Fixed” Camera Model ,[object Object]
Camera Models - Accuracy ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
SHINY - Structured Highlight INspection sYstem ,[object Object],[object Object],[object Object]
Stereo Hightlight Algorithm ,[object Object],[object Object]
Results ,[object Object],[object Object]
Stereo Techniques ________________________
Stereo in the Presence of Specular Reflection Dinkar N. Bhat Shree K. Nayar Columbia University
Introduction ,[object Object],[object Object]
Correspondence Problem ,[object Object],[object Object]
Specular Reflection ,[object Object],[object Object]
Specular Reflection Smooth Surface Rough Surface
Implications for Stereo ,[object Object],[object Object],[object Object]
Implications for Stereo ,[object Object]
Binocular Stereo Configuration
Vergence ,[object Object],[object Object]
Binocular Stereo ,[object Object],[object Object],[object Object],[object Object]
Experiments ,[object Object],[object Object]
 
Trinocular Stereo ,[object Object],[object Object]
Trinocular Stereo
Experiments ,[object Object]
Retrieving Shape Information from Multiple Images of a Specular Surface Howard Schultz University of Massachusetts
Introduction ,[object Object]
Viewing Geometry ,[object Object],[object Object],[object Object]
Viewing Geometry
Image Synthesis ,[object Object],[object Object],[object Object]
Specular Surface Stereo ,[object Object],[object Object]
Surface Orientation ,[object Object],[object Object]
Surface Propagation ,[object Object],[object Object],[object Object]
Obtaining Seed Values ,[object Object],[object Object]
Results ,[object Object],[object Object]
Motion Techniques ________________________
A Theory of Specular Surface Geometry Michael Oren Shree K. Nayar Columbia University
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object]
Introduction ,[object Object],[object Object]
Curve Representation ,[object Object],[object Object]
Curve Representation
2D Caustics ,[object Object],[object Object]
Test Image
2D Caustics ,[object Object],[object Object]
2D Profile Recovery ,[object Object],[object Object]
3D Surface Recovery ,[object Object],[object Object]
3D Surface Recovery ,[object Object],[object Object],[object Object]
Results ,[object Object],[object Object]
Epipolar Geometry ________________________
Epipolar Geometry ,[object Object],[object Object]
Epipolar Geometry ,[object Object],[object Object],[object Object],[object Object]
Epipolar Geometry ,[object Object],[object Object]
Generalizing Epipolar-Plane Image Analysis on the Spatiotemporal Surface H. Harlyn Baker Robert C. Bolles SRI International
Introduction ,[object Object],[object Object],[object Object]
Epipolar-Plane Image Analysis ,[object Object],[object Object],[object Object],[object Object]
Epipolar-Plane Image Analysis ,[object Object],[object Object]
Epipolar-Plane Image Analysis
The Spatiotemporal Surface ,[object Object],[object Object],[object Object]
The Spatiotemporal Surface
3D Surface Estimation and Model Construction From Specular Motion in Image Sequences   Jiang Yu Zheng Norihiro Abe Kyushu Institiute of Technology Yoshihiro Fukagawa Torey Corporation
Introduction ,[object Object],[object Object]
System Setup
Projected Highlights ,[object Object],[object Object],[object Object]
Feature tracking ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
EPI-Plane Images ,[object Object]
Results ,[object Object]
Solder Joint Inspection ____________________________
Visual Inspection System for the Classification of Solder Joints Tae-Hyeon Kim Young Shik Moon Sung Han Park Hanyang University Kwang-Jin Yoon LG Industrial Systems
Introduction ,[object Object],[object Object]
Classification of Joints
Preprocessing ,[object Object],[object Object]
Feature Extraction - 2D ,[object Object],[object Object],[object Object],[object Object],[object Object]
Feature Extraction - 3D ,[object Object],[object Object],[object Object]
Classification -2D ,[object Object],[object Object],[object Object],[object Object]
Classification - 3D ,[object Object]
Inspection System
Results
Results

Más contenido relacionado

La actualidad más candente

Digital Image Fundamentals
Digital Image FundamentalsDigital Image Fundamentals
Digital Image FundamentalsA B Shinde
 
SPATIAL FILTERING IN IMAGE PROCESSING
SPATIAL FILTERING IN IMAGE PROCESSINGSPATIAL FILTERING IN IMAGE PROCESSING
SPATIAL FILTERING IN IMAGE PROCESSINGmuthu181188
 
Image restoration and degradation model
Image restoration and degradation modelImage restoration and degradation model
Image restoration and degradation modelAnupriyaDurai
 
Image feature extraction
Image feature extractionImage feature extraction
Image feature extractionRishabh shah
 
Image enhancement techniques
Image enhancement techniquesImage enhancement techniques
Image enhancement techniquessakshij91
 
Image feature extraction
Image feature extractionImage feature extraction
Image feature extractionRushin Shah
 
Image compression standards
Image compression standardsImage compression standards
Image compression standardskirupasuchi1996
 
Image processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filtersImage processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filtersKuppusamy P
 
Texture based feature extraction and object tracking
Texture based feature extraction and object trackingTexture based feature extraction and object tracking
Texture based feature extraction and object trackingPriyanka Goswami
 
Image Representation & Descriptors
Image Representation & DescriptorsImage Representation & Descriptors
Image Representation & DescriptorsPundrikPatel
 
Digital Image Processing_ ch2 enhancement spatial-domain
Digital Image Processing_ ch2 enhancement spatial-domainDigital Image Processing_ ch2 enhancement spatial-domain
Digital Image Processing_ ch2 enhancement spatial-domainMalik obeisat
 
Histogram Processing
Histogram ProcessingHistogram Processing
Histogram ProcessingAmnaakhaan
 
Texture,pattern and pattern classes
Texture,pattern and pattern classesTexture,pattern and pattern classes
Texture,pattern and pattern classesrajisri2
 
Gabor Filtering for Fingerprint Image Enhancement
Gabor Filtering for Fingerprint Image EnhancementGabor Filtering for Fingerprint Image Enhancement
Gabor Filtering for Fingerprint Image EnhancementAnkit Nayan
 

La actualidad más candente (20)

Digital Image Fundamentals
Digital Image FundamentalsDigital Image Fundamentals
Digital Image Fundamentals
 
Image enhancement
Image enhancementImage enhancement
Image enhancement
 
SPATIAL FILTERING IN IMAGE PROCESSING
SPATIAL FILTERING IN IMAGE PROCESSINGSPATIAL FILTERING IN IMAGE PROCESSING
SPATIAL FILTERING IN IMAGE PROCESSING
 
Unit ii
Unit iiUnit ii
Unit ii
 
Shape Features
 Shape Features  Shape Features
Shape Features
 
Spatial filtering
Spatial filteringSpatial filtering
Spatial filtering
 
Image restoration and degradation model
Image restoration and degradation modelImage restoration and degradation model
Image restoration and degradation model
 
Image feature extraction
Image feature extractionImage feature extraction
Image feature extraction
 
Image enhancement techniques
Image enhancement techniquesImage enhancement techniques
Image enhancement techniques
 
Digital Image Processing
Digital Image ProcessingDigital Image Processing
Digital Image Processing
 
Image feature extraction
Image feature extractionImage feature extraction
Image feature extraction
 
Image compression standards
Image compression standardsImage compression standards
Image compression standards
 
Image processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filtersImage processing, Noise, Noise Removal filters
Image processing, Noise, Noise Removal filters
 
Texture based feature extraction and object tracking
Texture based feature extraction and object trackingTexture based feature extraction and object tracking
Texture based feature extraction and object tracking
 
Image Representation & Descriptors
Image Representation & DescriptorsImage Representation & Descriptors
Image Representation & Descriptors
 
Digital Image Processing_ ch2 enhancement spatial-domain
Digital Image Processing_ ch2 enhancement spatial-domainDigital Image Processing_ ch2 enhancement spatial-domain
Digital Image Processing_ ch2 enhancement spatial-domain
 
Illumination Models & Shading
Illumination Models & ShadingIllumination Models & Shading
Illumination Models & Shading
 
Histogram Processing
Histogram ProcessingHistogram Processing
Histogram Processing
 
Texture,pattern and pattern classes
Texture,pattern and pattern classesTexture,pattern and pattern classes
Texture,pattern and pattern classes
 
Gabor Filtering for Fingerprint Image Enhancement
Gabor Filtering for Fingerprint Image EnhancementGabor Filtering for Fingerprint Image Enhancement
Gabor Filtering for Fingerprint Image Enhancement
 

Destacado (20)

Connecting with students
Connecting with studentsConnecting with students
Connecting with students
 
Plat 04
Plat 04Plat 04
Plat 04
 
BPCO IPERTENSIONE POLMONARE-PH COPD
BPCO IPERTENSIONE POLMONARE-PH COPDBPCO IPERTENSIONE POLMONARE-PH COPD
BPCO IPERTENSIONE POLMONARE-PH COPD
 
Plat 03
Plat 03Plat 03
Plat 03
 
การใช้งานคอมฯ (Pptx)
การใช้งานคอมฯ  (Pptx)การใช้งานคอมฯ  (Pptx)
การใช้งานคอมฯ (Pptx)
 
fall meeting sept 18-21, 2007 version 2
fall meeting sept 18-21, 2007 version 2fall meeting sept 18-21, 2007 version 2
fall meeting sept 18-21, 2007 version 2
 
Mini market bab i
Mini market   bab iMini market   bab i
Mini market bab i
 
Training ime, guru
Training ime, guruTraining ime, guru
Training ime, guru
 
In contact presentation
In contact presentationIn contact presentation
In contact presentation
 
Television Cameras puzzle
Television Cameras puzzleTelevision Cameras puzzle
Television Cameras puzzle
 
Leadership Summit 2010 October
Leadership Summit 2010 OctoberLeadership Summit 2010 October
Leadership Summit 2010 October
 
Plat 05
Plat 05Plat 05
Plat 05
 
Exp imp-bab-01
Exp imp-bab-01Exp imp-bab-01
Exp imp-bab-01
 
100 examples
100 examples100 examples
100 examples
 
Software Testing 5/5
Software Testing 5/5Software Testing 5/5
Software Testing 5/5
 
Introhive overview general
Introhive overview   generalIntrohive overview   general
Introhive overview general
 
Pengurusan bangunan berstrata
Pengurusan bangunan berstrataPengurusan bangunan berstrata
Pengurusan bangunan berstrata
 
Mind tools for project managers
Mind tools for project managersMind tools for project managers
Mind tools for project managers
 
Pervasive Usability for Web 2.0
Pervasive Usability for Web 2.0Pervasive Usability for Web 2.0
Pervasive Usability for Web 2.0
 
職災勞工保護法 工傷版
職災勞工保護法 工傷版職災勞工保護法 工傷版
職災勞工保護法 工傷版
 

Similar a Computer Vision: Shape from Specularities and Motion

Use of Specularities and Motion in the Extraction of Surface Shape
Use of Specularities and Motion in the Extraction of Surface ShapeUse of Specularities and Motion in the Extraction of Surface Shape
Use of Specularities and Motion in the Extraction of Surface ShapeDamian T. Gordon
 
Handout optik-geometri-english
Handout optik-geometri-englishHandout optik-geometri-english
Handout optik-geometri-englishsupraptounnes
 
Reflection of light
Reflection of lightReflection of light
Reflection of lighthmsoh
 
Heckbert p s__adaptive_radiosity_textures_for_bidirectional_r
Heckbert p s__adaptive_radiosity_textures_for_bidirectional_rHeckbert p s__adaptive_radiosity_textures_for_bidirectional_r
Heckbert p s__adaptive_radiosity_textures_for_bidirectional_rXavier Davias
 
Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2Self-employed
 
Rendering equation
Rendering equationRendering equation
Rendering equationYiwei Gong
 
ray optics class 12 ppt part 2 slideshare
ray optics class 12 ppt part 2 slideshareray optics class 12 ppt part 2 slideshare
ray optics class 12 ppt part 2 slideshareArpit Meena
 
Interactive Refractions And Caustics Using Image Space Techniques
Interactive Refractions And Caustics Using Image Space TechniquesInteractive Refractions And Caustics Using Image Space Techniques
Interactive Refractions And Caustics Using Image Space Techniquescodevania
 
3D Graphics : Computer Graphics Fundamentals
3D Graphics : Computer Graphics Fundamentals3D Graphics : Computer Graphics Fundamentals
3D Graphics : Computer Graphics FundamentalsMuhammed Afsal Villan
 
illumination model in Computer Graphics by irru pychukar
illumination model in Computer Graphics by irru pychukarillumination model in Computer Graphics by irru pychukar
illumination model in Computer Graphics by irru pychukarsyedArr
 
7 illumination and-shading computer graphics
7 illumination and-shading computer graphics7 illumination and-shading computer graphics
7 illumination and-shading computer graphicscairo university
 
Reflection and refraction at home & curved surfaces
Reflection and refraction at home & curved surfacesReflection and refraction at home & curved surfaces
Reflection and refraction at home & curved surfacesMohammad Arman Bin Aziz
 
Phong Shading over any Polygonal Surface
Phong Shading over any Polygonal Surface Phong Shading over any Polygonal Surface
Phong Shading over any Polygonal Surface Bhuvnesh Pratap
 

Similar a Computer Vision: Shape from Specularities and Motion (20)

Use of Specularities and Motion in the Extraction of Surface Shape
Use of Specularities and Motion in the Extraction of Surface ShapeUse of Specularities and Motion in the Extraction of Surface Shape
Use of Specularities and Motion in the Extraction of Surface Shape
 
Shading methods
Shading methodsShading methods
Shading methods
 
Handout optik-geometri-english
Handout optik-geometri-englishHandout optik-geometri-english
Handout optik-geometri-english
 
Matrix optics
Matrix opticsMatrix optics
Matrix optics
 
Reflection of light
Reflection of lightReflection of light
Reflection of light
 
CS 354 Lighting
CS 354 LightingCS 354 Lighting
CS 354 Lighting
 
2_ray_optics_2.ppt
2_ray_optics_2.ppt2_ray_optics_2.ppt
2_ray_optics_2.ppt
 
Heckbert p s__adaptive_radiosity_textures_for_bidirectional_r
Heckbert p s__adaptive_radiosity_textures_for_bidirectional_rHeckbert p s__adaptive_radiosity_textures_for_bidirectional_r
Heckbert p s__adaptive_radiosity_textures_for_bidirectional_r
 
Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2Ray Optics Class 12 Part-2
Ray Optics Class 12 Part-2
 
Rendering equation
Rendering equationRendering equation
Rendering equation
 
ray optics class 12 ppt part 2 slideshare
ray optics class 12 ppt part 2 slideshareray optics class 12 ppt part 2 slideshare
ray optics class 12 ppt part 2 slideshare
 
graphics notes
graphics notesgraphics notes
graphics notes
 
Shading
ShadingShading
Shading
 
Interactive Refractions And Caustics Using Image Space Techniques
Interactive Refractions And Caustics Using Image Space TechniquesInteractive Refractions And Caustics Using Image Space Techniques
Interactive Refractions And Caustics Using Image Space Techniques
 
3D Graphics : Computer Graphics Fundamentals
3D Graphics : Computer Graphics Fundamentals3D Graphics : Computer Graphics Fundamentals
3D Graphics : Computer Graphics Fundamentals
 
illumination model in Computer Graphics by irru pychukar
illumination model in Computer Graphics by irru pychukarillumination model in Computer Graphics by irru pychukar
illumination model in Computer Graphics by irru pychukar
 
De24686692
De24686692De24686692
De24686692
 
7 illumination and-shading computer graphics
7 illumination and-shading computer graphics7 illumination and-shading computer graphics
7 illumination and-shading computer graphics
 
Reflection and refraction at home & curved surfaces
Reflection and refraction at home & curved surfacesReflection and refraction at home & curved surfaces
Reflection and refraction at home & curved surfaces
 
Phong Shading over any Polygonal Surface
Phong Shading over any Polygonal Surface Phong Shading over any Polygonal Surface
Phong Shading over any Polygonal Surface
 

Más de Damian T. Gordon

Universal Design for Learning, Co-Designing with Students.
Universal Design for Learning, Co-Designing with Students.Universal Design for Learning, Co-Designing with Students.
Universal Design for Learning, Co-Designing with Students.Damian T. Gordon
 
Introduction to Microservices
Introduction to MicroservicesIntroduction to Microservices
Introduction to MicroservicesDamian T. Gordon
 
Introduction to Cloud Computing
Introduction to Cloud ComputingIntroduction to Cloud Computing
Introduction to Cloud ComputingDamian T. Gordon
 
Evaluating Teaching: SECTIONS
Evaluating Teaching: SECTIONSEvaluating Teaching: SECTIONS
Evaluating Teaching: SECTIONSDamian T. Gordon
 
Evaluating Teaching: MERLOT
Evaluating Teaching: MERLOTEvaluating Teaching: MERLOT
Evaluating Teaching: MERLOTDamian T. Gordon
 
Evaluating Teaching: Anstey and Watson Rubric
Evaluating Teaching: Anstey and Watson RubricEvaluating Teaching: Anstey and Watson Rubric
Evaluating Teaching: Anstey and Watson RubricDamian T. Gordon
 
Designing Teaching: Pause Procedure
Designing Teaching: Pause ProcedureDesigning Teaching: Pause Procedure
Designing Teaching: Pause ProcedureDamian T. Gordon
 
Designing Teaching: ASSURE
Designing Teaching: ASSUREDesigning Teaching: ASSURE
Designing Teaching: ASSUREDamian T. Gordon
 
Designing Teaching: Laurilliard's Learning Types
Designing Teaching: Laurilliard's Learning TypesDesigning Teaching: Laurilliard's Learning Types
Designing Teaching: Laurilliard's Learning TypesDamian T. Gordon
 
Designing Teaching: Gagne's Nine Events of Instruction
Designing Teaching: Gagne's Nine Events of InstructionDesigning Teaching: Gagne's Nine Events of Instruction
Designing Teaching: Gagne's Nine Events of InstructionDamian T. Gordon
 
Designing Teaching: Elaboration Theory
Designing Teaching: Elaboration TheoryDesigning Teaching: Elaboration Theory
Designing Teaching: Elaboration TheoryDamian T. Gordon
 
Universally Designed Learning Spaces: Some Considerations
Universally Designed Learning Spaces: Some ConsiderationsUniversally Designed Learning Spaces: Some Considerations
Universally Designed Learning Spaces: Some ConsiderationsDamian T. Gordon
 

Más de Damian T. Gordon (20)

Universal Design for Learning, Co-Designing with Students.
Universal Design for Learning, Co-Designing with Students.Universal Design for Learning, Co-Designing with Students.
Universal Design for Learning, Co-Designing with Students.
 
Introduction to Microservices
Introduction to MicroservicesIntroduction to Microservices
Introduction to Microservices
 
REST and RESTful Services
REST and RESTful ServicesREST and RESTful Services
REST and RESTful Services
 
Serverless Computing
Serverless ComputingServerless Computing
Serverless Computing
 
Cloud Identity Management
Cloud Identity ManagementCloud Identity Management
Cloud Identity Management
 
Containers and Docker
Containers and DockerContainers and Docker
Containers and Docker
 
Introduction to Cloud Computing
Introduction to Cloud ComputingIntroduction to Cloud Computing
Introduction to Cloud Computing
 
Introduction to ChatGPT
Introduction to ChatGPTIntroduction to ChatGPT
Introduction to ChatGPT
 
How to Argue Logically
How to Argue LogicallyHow to Argue Logically
How to Argue Logically
 
Evaluating Teaching: SECTIONS
Evaluating Teaching: SECTIONSEvaluating Teaching: SECTIONS
Evaluating Teaching: SECTIONS
 
Evaluating Teaching: MERLOT
Evaluating Teaching: MERLOTEvaluating Teaching: MERLOT
Evaluating Teaching: MERLOT
 
Evaluating Teaching: Anstey and Watson Rubric
Evaluating Teaching: Anstey and Watson RubricEvaluating Teaching: Anstey and Watson Rubric
Evaluating Teaching: Anstey and Watson Rubric
 
Evaluating Teaching: LORI
Evaluating Teaching: LORIEvaluating Teaching: LORI
Evaluating Teaching: LORI
 
Designing Teaching: Pause Procedure
Designing Teaching: Pause ProcedureDesigning Teaching: Pause Procedure
Designing Teaching: Pause Procedure
 
Designing Teaching: ADDIE
Designing Teaching: ADDIEDesigning Teaching: ADDIE
Designing Teaching: ADDIE
 
Designing Teaching: ASSURE
Designing Teaching: ASSUREDesigning Teaching: ASSURE
Designing Teaching: ASSURE
 
Designing Teaching: Laurilliard's Learning Types
Designing Teaching: Laurilliard's Learning TypesDesigning Teaching: Laurilliard's Learning Types
Designing Teaching: Laurilliard's Learning Types
 
Designing Teaching: Gagne's Nine Events of Instruction
Designing Teaching: Gagne's Nine Events of InstructionDesigning Teaching: Gagne's Nine Events of Instruction
Designing Teaching: Gagne's Nine Events of Instruction
 
Designing Teaching: Elaboration Theory
Designing Teaching: Elaboration TheoryDesigning Teaching: Elaboration Theory
Designing Teaching: Elaboration Theory
 
Universally Designed Learning Spaces: Some Considerations
Universally Designed Learning Spaces: Some ConsiderationsUniversally Designed Learning Spaces: Some Considerations
Universally Designed Learning Spaces: Some Considerations
 

Último

Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Celine George
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxShobhayan Kirtania
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionSafetyChain Software
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...fonyou31
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docxPoojaSen20
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdfQucHHunhnh
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)eniolaolutunde
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxSayali Powar
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfciinovamais
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxiammrhaywood
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfchloefrazer622
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfJayanti Pande
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...Pooja Nehwal
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Krashi Coaching
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdfQucHHunhnh
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeThiyagu K
 

Último (20)

INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptxINDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
INDIA QUIZ 2024 RLAC DELHI UNIVERSITY.pptx
 
Advance Mobile Application Development class 07
Advance Mobile Application Development class 07Advance Mobile Application Development class 07
Advance Mobile Application Development class 07
 
Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17Advanced Views - Calendar View in Odoo 17
Advanced Views - Calendar View in Odoo 17
 
The byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptxThe byproduct of sericulture in different industries.pptx
The byproduct of sericulture in different industries.pptx
 
Mastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory InspectionMastering the Unannounced Regulatory Inspection
Mastering the Unannounced Regulatory Inspection
 
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
Ecosystem Interactions Class Discussion Presentation in Blue Green Lined Styl...
 
mini mental status format.docx
mini    mental       status     format.docxmini    mental       status     format.docx
mini mental status format.docx
 
1029-Danh muc Sach Giao Khoa khoi 6.pdf
1029-Danh muc Sach Giao Khoa khoi  6.pdf1029-Danh muc Sach Giao Khoa khoi  6.pdf
1029-Danh muc Sach Giao Khoa khoi 6.pdf
 
Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1Código Creativo y Arte de Software | Unidad 1
Código Creativo y Arte de Software | Unidad 1
 
Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)Software Engineering Methodologies (overview)
Software Engineering Methodologies (overview)
 
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
Mattingly "AI & Prompt Design: Structured Data, Assistants, & RAG"
 
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptxPOINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
POINT- BIOCHEMISTRY SEM 2 ENZYMES UNIT 5.pptx
 
Activity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdfActivity 01 - Artificial Culture (1).pdf
Activity 01 - Artificial Culture (1).pdf
 
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptxSOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
SOCIAL AND HISTORICAL CONTEXT - LFTVD.pptx
 
Arihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdfArihant handbook biology for class 11 .pdf
Arihant handbook biology for class 11 .pdf
 
Web & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdfWeb & Social Media Analytics Previous Year Question Paper.pdf
Web & Social Media Analytics Previous Year Question Paper.pdf
 
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...Russian Call Girls in Andheri Airport Mumbai WhatsApp  9167673311 💞 Full Nigh...
Russian Call Girls in Andheri Airport Mumbai WhatsApp 9167673311 💞 Full Nigh...
 
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
Kisan Call Centre - To harness potential of ICT in Agriculture by answer farm...
 
1029 - Danh muc Sach Giao Khoa 10 . pdf
1029 -  Danh muc Sach Giao Khoa 10 . pdf1029 -  Danh muc Sach Giao Khoa 10 . pdf
1029 - Danh muc Sach Giao Khoa 10 . pdf
 
Measures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and ModeMeasures of Central Tendency: Mean, Median and Mode
Measures of Central Tendency: Mean, Median and Mode
 

Computer Vision: Shape from Specularities and Motion