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Space‐Optimized Texture Maps
Author(s) -
Balmelli Laurent,
Taubin Gabriel,
Bernardini Fausto
Publication year - 2002
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/1467-8659.t01-1-00601
Subject(s) - projective texture mapping , image warping , texture compression , bidirectional texture function , texture filtering , computer science , texture mapping , texture (cosmology) , computer vision , artificial intelligence , texture memory , image texture , polygon mesh , texture synthesis , texture atlas , image (mathematics) , computer graphics (images) , computer graphics , image processing , 3d computer graphics , software rendering
Texture mapping is a common operation to increase the realism of three‐dimensional meshes at low cost. We propose a new texture optimization algorithm based on the reduction of the physical space allotted to the texture image. Our algorithm optimizes the use of texture space by computing a warping function for the image and new texture coordinates. Neither the mesh geometry nor its connectivity are modified by the optimization. Our method uniformly distributes frequency content of the image in the spatial domain. In other words, the image is stretched in high frequency areas, whereas low frequency regions are shrunk. We also take into account distortions introduced by the mapping onto the model geometry in this process. The resulting image can be resampled at lower rate while preserving its original details. The unwarping is performed by the texture mapping function. Hence, the space‐optimized texture is stored as‐is in texture memory and is fully supported by current graphics hardware. We present several examples showing that our method significantly decreases texture memory usage without noticeable loss in visual quality.