The Bidirectional Texture Function (BTF) is the recent most advanced representation of material surface visual properties. BTF specifies the changes of its visual appearance due to varying illumination and viewing angles. Such a function might be represented by thousands of images of given material surface. Original data cannot be used due to its size and some compression is necessary. This paper presents a novel probabilistic model for BTF textures. The method combines synthesized smooth texture and corresponding range map to produce the required BTF texture. Proposed scheme enables very high BTF texture compression ratio and may be used to reconstruct BTF space as well
Most current acquisition setups for bidirectional texture functions (BTFs) are incapable of capturin...
Abstract — Real world surfaces such as tree bark, moss, sponge, and fur often have complicated geome...
Rough textures describe a general visual appearance of real-world materials with regard to view and ...
The bidirectional texture function (BTF) is the recent most advanced representation of visual prope...
Abstract. The highest fidelity representations of realistic real-world materials currently used comp...
A generalization of our Gaussian distribution mixtures based method to Bidirectional Texture Functio...
The Bidirectional Texture Function (BTF) is becoming widely used for accurate representation of rea...
In this paper, we present a novel approach to synthetically generating bidirectional texture functio...
Abstract—An ever-growing number of real-world computer vision applications require classification, s...
The bidirectional texture function (BTF) is a 6D function that can describe textures arising from bo...
Markov Random Field (MRF) model is a very useful model for image texture processing. But its stabili...
Markov Random Field (MRF) model is a very useful model for image texture processing. But its stabili...
Most current acquisition setups for bidirectional texture functions (BTFs) are incapable of capturin...
Textured surfaces are an inherent constituent of the natural surroundings, therefore efficient realw...
International audiencePhysically correct and realistic visual appearance rendering or analysis of ma...
Most current acquisition setups for bidirectional texture functions (BTFs) are incapable of capturin...
Abstract — Real world surfaces such as tree bark, moss, sponge, and fur often have complicated geome...
Rough textures describe a general visual appearance of real-world materials with regard to view and ...
The bidirectional texture function (BTF) is the recent most advanced representation of visual prope...
Abstract. The highest fidelity representations of realistic real-world materials currently used comp...
A generalization of our Gaussian distribution mixtures based method to Bidirectional Texture Functio...
The Bidirectional Texture Function (BTF) is becoming widely used for accurate representation of rea...
In this paper, we present a novel approach to synthetically generating bidirectional texture functio...
Abstract—An ever-growing number of real-world computer vision applications require classification, s...
The bidirectional texture function (BTF) is a 6D function that can describe textures arising from bo...
Markov Random Field (MRF) model is a very useful model for image texture processing. But its stabili...
Markov Random Field (MRF) model is a very useful model for image texture processing. But its stabili...
Most current acquisition setups for bidirectional texture functions (BTFs) are incapable of capturin...
Textured surfaces are an inherent constituent of the natural surroundings, therefore efficient realw...
International audiencePhysically correct and realistic visual appearance rendering or analysis of ma...
Most current acquisition setups for bidirectional texture functions (BTFs) are incapable of capturin...
Abstract — Real world surfaces such as tree bark, moss, sponge, and fur often have complicated geome...
Rough textures describe a general visual appearance of real-world materials with regard to view and ...