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» Shape Estimation in Natural Illumination
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MVA
2000
154views Computer Vision» more  MVA 2000»
13 years 6 months ago
A Face Recognition Algorithm Robust Against Illumination Variations Using 3-Dimensional Face Shape
The authors propose a face recognition algorithm robust against the illumination variations, using an average face shape. The objective of this paper is two-fold: (1) to propose a...
Hitoshi Imaoka, Shizuo Sakamoto
ICCV
2003
IEEE
14 years 9 months ago
Shape and Motion under Varying Illumination: Unifying Structure from Motion, Photometric Stereo, and Multi-view Stereo
This paper presents an algorithm for computing optical flow, shape, motion, lighting, and albedo from an image sequence of a rigidly-moving Lambertian object under distant illumin...
Li Zhang, Brian Curless, Aaron Hertzmann, Steven M...
CVPR
2011
IEEE
13 years 3 months ago
An Analysis of Using High-Frequency Sinusoidal Illumination to Measure the 3D Shape of Translucent Objects
Using optical triangulation methods to measure the shape of translucent objects is difficult because subsurface scattering contaminates measurements of the “direct” reflecti...
Michael Holroyd, Jason Lawrence
ICCV
2007
IEEE
14 years 9 months ago
Shape Reconstruction Based on Similarity in Radiance Changes under Varying Illumination
This paper presents a technique for determining an object's shape based on the similarity of radiance changes observed at points on its surface under varying illumination. To...
Imari Sato, Takahiro Okabe, Qiong Yu, Yoichi Sato
CVPR
2011
IEEE
13 years 3 months ago
High-quality shape from multi-view stereo and shading under general illumination
Multi-view stereo methods reconstruct 3D geometry from images well for sufficiently textured scenes, but often fail to recover high-frequency surface detail, particularly for smo...
Chenglei Wu, Bennett Wilburn, Yasuyuki Matsushita,...