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» Shape and Spatially-Varying BRDFs from Photometric Stereo
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CAIP
2003
Springer
248views Image Analysis» more  CAIP 2003»
13 years 10 months ago
Shape from Photometric Stereo and Contours
In this work, we further discuss an approach to 3D shape recovery by combining photometric stereo and shape from contours methods. Surfaces recovered by photometric stereo are ali...
Chia-Yen Chen, Reinhard Klette, Chi-Fa Chen
ICCV
2007
IEEE
14 years 6 months ago
Shape from Varying Illumination and Viewpoint
We address the problem of reconstructing the 3-D shape of a Lambertian surface from multiple images acquired as an object rotates under distant and possibly varying illumination. ...
Neel Joshi, David J. Kriegman
CGF
2005
204views more  CGF 2005»
13 years 4 months ago
BRDF and geometry capture from extended inhomogeneous samples using flash photography
We present a technique which allows capture of 3D surface geometry and a useful class of BRDFs using extremely simple equipment. A standard digital camera with an attached flash s...
James A. Paterson, David Claus, Andrew W. Fitzgibb...
ICCV
2003
IEEE
14 years 6 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...
ECCV
2006
Springer
14 years 6 months ago
Variational Shape and Reflectance Estimation Under Changing Light and Viewpoints
Abstract. Fitting parameterized 3D shape and general reflectance models to 2D image data is challenging due to the high dimensionality of the problem. The proposed method combines ...
Dana Cobzas, Martin Jägersand, Neil Birkbeck,...