Constrained texture mapping

Texture mapping adds visual details to enhance realism of three-dimensional model. For most area in computer graphics, it is important to ensure the correspondence of the texture details with the features of the model. Therefore, there is a need of software to perform such task. In this project, our...

Full description

Saved in:
Bibliographic Details
Main Author: Raditya, Marco Triantoro
Other Authors: Henry Johan
Format: Final Year Project
Language:English
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/10356/36252
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-36252
record_format dspace
spelling sg-ntu-dr.10356-362522023-03-03T20:30:38Z Constrained texture mapping Raditya, Marco Triantoro Henry Johan School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics Texture mapping adds visual details to enhance realism of three-dimensional model. For most area in computer graphics, it is important to ensure the correspondence of the texture details with the features of the model. Therefore, there is a need of software to perform such task. In this project, our challenge is to map a two-dimensional texture into a three-dimensional model based on user-defined constraints in position for some features. We propose a solution by flattening the model into two-dimensional first, and then applying transformation to a texture image such that it will fit into the flattened model. Some investigations on the state-of-the-art techniques and algorithms used for model flattening and image warping had been done. Subsequently, we built our FLATTENING and WARPING program using C++ programming language for experimental purpose. Our proposed method works with a human face of size 3614 polygon counts in approximately 2 minutes. We managed to achieve average error rate of 0.226873 distance units per vertex with no overlapping terms. From the result, it can be concluded that the algorithms used in our method produce a good performance. Therefore, the proposed method is suitable for texture mapping with constraints in features location. Bachelor of Engineering (Computer Engineering) 2010-04-29T06:26:33Z 2010-04-29T06:26:33Z 2010 2010 Final Year Project (FYP) http://hdl.handle.net/10356/36252 en Nanyang Technological University 65 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Raditya, Marco Triantoro
Constrained texture mapping
description Texture mapping adds visual details to enhance realism of three-dimensional model. For most area in computer graphics, it is important to ensure the correspondence of the texture details with the features of the model. Therefore, there is a need of software to perform such task. In this project, our challenge is to map a two-dimensional texture into a three-dimensional model based on user-defined constraints in position for some features. We propose a solution by flattening the model into two-dimensional first, and then applying transformation to a texture image such that it will fit into the flattened model. Some investigations on the state-of-the-art techniques and algorithms used for model flattening and image warping had been done. Subsequently, we built our FLATTENING and WARPING program using C++ programming language for experimental purpose. Our proposed method works with a human face of size 3614 polygon counts in approximately 2 minutes. We managed to achieve average error rate of 0.226873 distance units per vertex with no overlapping terms. From the result, it can be concluded that the algorithms used in our method produce a good performance. Therefore, the proposed method is suitable for texture mapping with constraints in features location.
author2 Henry Johan
author_facet Henry Johan
Raditya, Marco Triantoro
format Final Year Project
author Raditya, Marco Triantoro
author_sort Raditya, Marco Triantoro
title Constrained texture mapping
title_short Constrained texture mapping
title_full Constrained texture mapping
title_fullStr Constrained texture mapping
title_full_unstemmed Constrained texture mapping
title_sort constrained texture mapping
publishDate 2010
url http://hdl.handle.net/10356/36252
_version_ 1759853718578135040