Human perception guided model simplification

This project aims to create an efficient 3D model simplification algorithm that is guided by human perception by combining Quadric Error Metrics (QEM) and Mesh Saliency. The proposed solution consists of two components: the application that loads and displays wavefront .obj files, and the algorit...

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Main Author: Seenivasan Sashwath Ravilla
Other Authors: Zheng Jianmin
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/166040
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1660402023-04-21T15:39:41Z Human perception guided model simplification Seenivasan Sashwath Ravilla Zheng Jianmin School of Computer Science and Engineering ASJMZheng@ntu.edu.sg Engineering::Computer science and engineering::Computing methodologies::Computer graphics This project aims to create an efficient 3D model simplification algorithm that is guided by human perception by combining Quadric Error Metrics (QEM) and Mesh Saliency. The proposed solution consists of two components: the application that loads and displays wavefront .obj files, and the algorithm that performs QEM simplification guided by saliency. The first component is essential to visualize the original and simplified versions of 3D models. The application is user-friendly, allowing the user to rotate, zoom, and pan the model. The second component, which is the algorithm, is the heart of the project. Beginning by implementing the QEM algorithm, Mesh Saliency will guide the simplification process by preserving the most visually significant parts of the 3D model. This report will provide a detailed account of the steps taken to develop the application and the algorithm, the challenges faced, and the results of the experiments. Bachelor of Engineering (Computer Science) 2023-04-20T03:33:14Z 2023-04-20T03:33:14Z 2023 Final Year Project (FYP) Seenivasan Sashwath Ravilla (2023). Human perception guided model simplification. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166040 https://hdl.handle.net/10356/166040 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computing methodologies::Computer graphics
spellingShingle Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Seenivasan Sashwath Ravilla
Human perception guided model simplification
description This project aims to create an efficient 3D model simplification algorithm that is guided by human perception by combining Quadric Error Metrics (QEM) and Mesh Saliency. The proposed solution consists of two components: the application that loads and displays wavefront .obj files, and the algorithm that performs QEM simplification guided by saliency. The first component is essential to visualize the original and simplified versions of 3D models. The application is user-friendly, allowing the user to rotate, zoom, and pan the model. The second component, which is the algorithm, is the heart of the project. Beginning by implementing the QEM algorithm, Mesh Saliency will guide the simplification process by preserving the most visually significant parts of the 3D model. This report will provide a detailed account of the steps taken to develop the application and the algorithm, the challenges faced, and the results of the experiments.
author2 Zheng Jianmin
author_facet Zheng Jianmin
Seenivasan Sashwath Ravilla
format Final Year Project
author Seenivasan Sashwath Ravilla
author_sort Seenivasan Sashwath Ravilla
title Human perception guided model simplification
title_short Human perception guided model simplification
title_full Human perception guided model simplification
title_fullStr Human perception guided model simplification
title_full_unstemmed Human perception guided model simplification
title_sort human perception guided model simplification
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/166040
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