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Importance Driven Texture Coordinate Optimization
Author(s) -
Sloan PeterPike J.,
Weinstein David M.,
Brederson J.
Publication year - 1998
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 - 10.1111/1467-8659.00257
Subject(s) - texture (cosmology) , computer science , texture mapping , process (computing) , texture filtering , texture compression , texture atlas , texture synthesis , projective texture mapping , artificial intelligence , bidirectional texture function , optimization problem , computer vision , image texture , geometry , algorithm , image (mathematics) , mathematics , image processing , operating system
Traditionally, texture coordinates have been generated based solely on the model’s geometry, often even before a model’s textures have been created. With the arrival of new technologies, such as 3D paint programs, weaknesses of a static optimization pre‐process are becoming apparent. These weaknesses arise from constructing a parameterization based solely on the model’s geometry, ignoring the fact that detail is not uniformly spaced throughout the texture space. In fact, certain regions of the texture are more important than other regions. In this paper we introduce the notion of the "importance map" and describe how importance values are derived from both intrinsic properties of the texture and user‐guided highlights. Furthermore, we describe how importance maps are used to drive the texture coordinate optimization. Finally, we show how this optimization process can be integrated into a 3D painting environment, enabling periodic optimization at any stage of texture design.