New algorithms from reconstruction of a 3-D depth map from one ormore images
Shao, M.
Simchony, T.
Chellappa, R.
Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA;
This paper appears in: Computer Vision and Pattern Recognition, 1988. Proceedings CVPR '88., Computer Society Conference on
Publication Date: 5-9 Jun 1988
On page(s): 530-535
Meeting Date: 06/05/1988 - 06/09/1988
Location: Ann Arbor, MI, USA
ISBN: 0-8186-0862-5
References Cited: 14
INSPEC Accession Number: 3258553
Digital Object Identifier: 10.1109/CVPR.1988.196286
Current Version Published: 2002-08-06
Abstract
Algorithms are developed to recover the depth and orientation maps
of a surface from its image intensities. They combine the advantages of
stereo vision and shape-from-shading (SFS) methods. These algorithms
generate dense surface depth and orientation maps accurately and
unambiguously. Previous SFS algorithms can not be directly extended to
combine stereo images because the recovery of surface depth and that of
orientation are separated in these formulations. A novel SFS algorithm
is proposed to couple the generation of the depth and orientation maps.
The formulation also ensures that the reconstructed surface depth and
its orientation are consistent. The SFS algorithm for a single image is
next extended to utilize stereo images. The correspondence over stereo
images is established simultaneously with the generation of surface
depth and orientation. An alternative approach is also suggested from
combining stereo and SFS techniques. The use of embedding techniques to
combine sparse depth measurements is discussed
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