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1. Department of Information Science and Engineering
Internship(18IS74)
7th Semester BE
3D RECONSTRUCTION OF HISTORICAL MONUMENTS
Evaluation- Phase-2
Academic Year – 2022-23
Carried out by:
B SRINIVAS (1RV19IS014)
Carried out at:
Bhargawa Info Tech Solutions (P) Ltd.
External Guide and Designation
Dr. Anala M.R
Professor, Dept Of ISE
R V College of Engineering

2. Agenda
• Objectives of the project
• Tasks performed
• Tools/Techniques Used
• Results
• Observation and conclusion
• References

3. RV College of
Engineering
Certificate
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4.  This Project will focus on direct reconstruction of the historical
monuments using Blender, a open-source 3d render using images
and GIS as the reference.
 Using images and information available the monuments will be
covered in textures for a realistic and clear understanding of the
monument.
 The Project will also utilize Unity, a game development engine to
develop a virtual world for the virtual inspection of the monument.
RV College of
Engineering
Objectives
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5.  This Project will focus on 3D reconstruction of the historical
monuments using Blender, a open-source 3d render using images
and Images as the reference.
 Using images and information available the monuments will be
covered in textures for a realistic and clear understnding of the
monument.
 The Models will be reconstructed using the images using pixel
extraction from the images and Mesh conversion techniques.
RV College of
Engineering
Objectives
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6. • VSCode.
• Blender.
• Unity.
• Adobe Photoshop.
• Python.
• Pixel Extraction and Mesh Conversion.
RV College of
Engineering
Tools and Techniques Used
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7. Design and Implementation
• The algorithm uses images from a pre-specified directory and
runs masking applications such as GAN.
• GAN Networks are used so as to distinguish the required
image from the background image.
• The output of the GAN Networks is used to separate the
foreground of the image from the background.
• The extracted Image is then imported into the Blender.
• Blender imports these images as planes with each of the pixel
as a vertex.
• The RGB values of the pixel is used to determine the color of
the vertex.

8. Design and Implementation
• The algorithm then performs certain optimizations to reduce
the number of pixels for easier rendering.
• The algorithm then performs the above mentioned steps for
multiple such images and stores the meshes.
• The meshes are then applied with the solidification modifier
and the meshes are thickened
• The meshes are then aligned together by performing regular
checks with the mesh collision and overlapping and is brute-
forced along the axises until they form a perfect structure.
• The excess of the mesh is then trimmed using the Boolean
modifiers based on their overlaps and the solidification
modifier is removed to obtain the final mesh.

9. [1]. Lemonia Ragia , Froso Sarri and Katerina Mania, ‘3D Reconstruction and
Visualization of Alternatives for Restoration of Historic Buildings A New Approach’,
GITSAM, 2015.
[2]. Sabry F. El-Hakim, J.-Angelo Beraldin, Michel Picard, and Guy Godin, ‘Detailed 3D
reconstruction of large-scale heritage sites with integrated techniques’, IEEE, 2004.
[3]. Antonios Kargas, Georgios Loumos and Dimitrios Varoutas, ‘Using Different Ways
of 3D Reconstruction of Historical Cities for Gaming Purposes: The Case Study of
Nafplio’ , Heritage, 2019.
[4]. Dagmāra Krūmiņa, ‘Cultural heritage 3D reconstruction from historical materials’ ,
Riga Technical University, Riga, Latvia, Student Contest, 2019.
[5]. Ioannis Liritzis, Pantelis Volonakis and Spyros Vosinakis, ‘3D Reconstruction of
Cultural Heritage Sites as an Educational Approach. The Sanctuary of Delphi’, applsci,
2021
RV College of
Engineering
References
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