DocumentCode :
2179224
Title :
A novel approach for texture shape recovery
Author :
Wang, Jing ; Dana, Kristin J.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rutgers Univ., Piscataway, NJ, USA
fYear :
2003
fDate :
13-16 Oct. 2003
Firstpage :
1374
Abstract :
In vision and graphics, there is a sustained interest in capturing accurate 3D shape with various scanning devices. However, the resulting geometric representation is only part of the story. Surface texture of real objects is also an important component of the representation and fine-scale surface geometry such as surface markings, roughness, and imprints, are essential in highly realistic rendering and accurate prediction. We present a novel approach for measuring the fine-scale surface shape of specular surfaces using a curved mirror to view multiple angles in a single image. A distinguishing aspect of our method is that it is designed for specular surfaces, unlike many methods (e.g. laser scanning) which cannot handle highly specular objects. Also, the spatial resolution is very high so that it can resolve very small surface details that are beyond the resolution of standard devices. Furthermore, our approach incorporates the simultaneous use of a bidirectional texture measurement method, so that spatially varying bidirectional reflectance is measured at the same time as surface shape.
Keywords :
computational geometry; computer vision; image reconstruction; image representation; image texture; realistic images; rendering (computer graphics); stereo image processing; 3D shape; accurate prediction; bidirectional reflectance; bidirectional texture measurement; computer graphics; computer vision; curved mirror; fine-scale surface geometry; fine-scale surface shape; geometric representation; laser scanning; multiple angles; real objects; realistic rendering; scanning devices; spatial resolution; specular surfaces; surface markings; surface roughness; surface texture; texture shape recovery; Geometry; Graphics; Mirrors; Rendering (computer graphics); Rough surfaces; Shape measurement; Spatial resolution; Surface roughness; Surface texture; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2003. Proceedings. Ninth IEEE International Conference on
Conference_Location :
Nice, France
Print_ISBN :
0-7695-1950-4
Type :
conf
DOI :
10.1109/ICCV.2003.1238650
Filename :
1238650
Link To Document :
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