Toward object-based heuristics
Gross, A.D.
Dept. of Comput. Sci., City Univ. of New York, Flushing, NY;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Aug 1994
Volume: 16,
Issue: 8
On page(s): 794-802
ISSN: 0162-8828
References Cited: 11
CODEN: ITPIDJ
INSPEC Accession Number: 4761915
Digital Object Identifier: 10.1109/34.308474
Current Version Published: 2002-08-06
Abstract
Recovering the 3-D shape of an object from its 2-D image contour
is an important problem in computer vision. In this correspondence, the
author motivates and develops two object-based heuristics. The
structured nature of objects is the motivation for the nonaccidental
alignment criterion: parallel coordinate axes within the object's
bounding contour correspond to object-centered coordinate axes. The
regularity and symmetry inherent in many man-made objects is the
motivation for the orthogonal basis constraint. An oblique set of
coordinate axes in the image is presumed to be the projection of an
orthogonal set of 3-D coordinate axes in the scene. These object-based
heuristics are used to recover shape in both real and synthetic images
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