Structure Recovery and Motion Estimation from Stereo Motion

Shin-Chung WANG  Chung-Lin HUANG  

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E77-D   No.11   pp.1247-1258
Publication Date: 1994/11/25
Online ISSN: 
DOI: 
Print ISSN: 0916-8532
Type of Manuscript: Special Section PAPER (Special Issue on Computer Vision)
Category: 
Keyword: 
dynamic stereo,  Gabor filter,  phase correspondence,  depth map,  feature point correspondence,  motion parameter estimation,  

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Summary: 
This paper presents a modified disparity measurement to recover the depth and a robust method to estimate motion parameters. First, this paper considers phase correspondence for the computation of disparity. It has less computation for disparity than previous methods that use the disparity from correspondence and from correlation. This modified disparity measurement uses the Gabor filter to analyze the local phase property and the exponential filter to analyze the global phase property. These two phases are added to make quasi-linear phases of the stereo image channels which are used for the stereo disparity finding and the structure recovery of scene. Then, we use feature-based correspondence to find the corresponding feature points in temporal image pair. Finally, we combine the depth map and use disparity motion stereo to estimate 3-D motion parameters.