Abstract
Significant number of parameterization methods has been proposed to perform good quality of texturing 3D models. However, most methods are hard to be extended for handling the texture mapping with constraints. In this paper, we develop a new algorithm to achieve the matching of the features between the model and texture image. To minimize the distortion artifacts from the matching algorithm, a L2 stretch metric is also applied to optimize the u,v map defined in parameterization domain.
| Original language | English |
|---|---|
| Title of host publication | Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings |
| Pages | 469-475 |
| Number of pages | 7 |
| Publication status | Published - 2005 Dec 1 |
| Event | 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 - Melbourne, Australia Duration: 2005 Sep 14 → 2005 Sep 16 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 3683 LNAI |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
Other
| Other | 9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 |
|---|---|
| Country | Australia |
| City | Melbourne |
| Period | 05-09-14 → 05-09-16 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
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Feature-constrained texturing system for 3D models. / Lee, Tong-Yee; Yan, Shaur Uei.
Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings. 2005. p. 469-475 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3683 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Feature-constrained texturing system for 3D models
AU - Lee, Tong-Yee
AU - Yan, Shaur Uei
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Significant number of parameterization methods has been proposed to perform good quality of texturing 3D models. However, most methods are hard to be extended for handling the texture mapping with constraints. In this paper, we develop a new algorithm to achieve the matching of the features between the model and texture image. To minimize the distortion artifacts from the matching algorithm, a L2 stretch metric is also applied to optimize the u,v map defined in parameterization domain.
AB - Significant number of parameterization methods has been proposed to perform good quality of texturing 3D models. However, most methods are hard to be extended for handling the texture mapping with constraints. In this paper, we develop a new algorithm to achieve the matching of the features between the model and texture image. To minimize the distortion artifacts from the matching algorithm, a L2 stretch metric is also applied to optimize the u,v map defined in parameterization domain.
UR - http://www.scopus.com/inward/record.url?scp=33745298967&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33745298967&partnerID=8YFLogxK
M3 - Conference contribution
SN - 3540288961
SN - 9783540288961
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 469
EP - 475
BT - Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings
ER -