Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Shape from shading
A microfacet-based BRDF generator
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Bidirectional Reflection Distribution Function of Thoroughly Pitted Surfaces
International Journal of Computer Vision
Direct Estimation of Shape from Texture
IEEE Transactions on Pattern Analysis and Machine Intelligence
On Perpendicular Texture: Why do we see more flowers in the distance?
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Reflectance and Texture of Real-World Surfaces Authors
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Relief Texture from Specularities
IEEE Transactions on Pattern Analysis and Machine Intelligence
Shape from Texture without Boundaries
International Journal of Computer Vision
Interactive editing and modeling of bidirectional texture functions
ACM SIGGRAPH 2007 papers
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We consider image texture due to the illumination of 3D surface corrugations on globally smooth curved surfaces. The same surface corrugations give rise to different image textures depending on illumination and viewing geometries. We study surfaces that are on the average approximately Lambertian. The surface roughness gives rise to luminance modulations of the global shading pattern. The extreme values of the luminance depend on simple geometrical factors such as whether surface micro facets exist that squarely face the light source or are in shadow. We find that a simple microfacet-based model suffices to describe textures in natural scenes robustly in a semiquantitative manner. Robust statistical measures of the texture yield the parameters for simple models that allow prediction of the BRDF. Thus texture analysis allows the input parameters for inverse rendering and material recognition to be estimated.