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An adaptive octree textures painting algorithm

Gang Dang, Hang Li, Zhi-Quan Cheng, Kai Xu, Yan-Zhen Wang, Bao Li
Sch. of Comput. Sci., Nat. Univ. of Defense Technol., Changsha, China
IEEE International Conference on Systems, Man and Cybernetics, 2009. SMC 2009

@inproceedings{dang2009adaptive,

   title={An adaptive octree textures painting algorithm},

   author={Dang, G. and Li, H. and Cheng, Z.Q. and Xu, K. and Wang, Y.Z. and Li, B.},

   booktitle={Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on},

   pages={4131–4135},

   organization={IEEE},

   year={2009}

}

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Traditional texturing using a set of two dimensional image maps is an established and widespread practice. However, it is difficult to parameterize a model in texture space, particularly with representations such as implicit surfaces, subdivision surfaces, and very dense or detailed polygonal meshes. Based on an adaptive octree textures definition, this paper proposes a direct reverse-projecting pixel-level painting approach which has less storage requirements to general octree textures maps. In addition, it depends on texture lookup in the GPU, which particularly lookup faster than the non-GPU program.
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