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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Lee, T. Y., & Yan, S. U. (2005). Feature-constrained texturing system for 3D models. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3683 LNAI, pp. 469–475). Springer Verlag. https://doi.org/10.1007/11553939_67
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