Surfaces from stereo: integrating feature matching, disparityestimation, and contour detection
Hoff, W.
Ahuja, N.
Coordinated Sci. Lab., Illinois Univ., IL;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Feb 1989
Volume: 11,
Issue: 2
On page(s): 121-136
ISSN: 0162-8828
References Cited: 30
CODEN: ITPIDJ
INSPEC Accession Number: 3383937
Digital Object Identifier: 10.1109/34.16709
Current Version Published: 2002-08-06
Abstract
An approach is described that integrates the processes of feature
matching, contour detection, and surface interpolation to determine the
three-dimensional distance, or depth, of objects from a stereo pair of
images. Integration is necessary to ensure that the detected surfaces
are smooth. Surface interpolation takes into account detected occluding
and ridge contours in the scene; interpolation is performed within
regions enclosed by these contours. Planar and quadratic patches are
used as local models of the surface. Occluded regions in the image are
identified, and are not used for matching and interpolation. A
coarse-to-fine algorithm is presented that generates a multiresolution
hierarchy of surface maps, one at each level of resolution. Experimental
results are given for a variety of stereo images
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