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COMPUTER VISION AND IMAGE UNDERSTANDING Vol. 67, No. 2, August, pp. 186201, 1997
 

Summary: COMPUTER VISION AND IMAGE UNDERSTANDING
Vol. 67, No. 2, August, pp. 186201, 1997
ARTICLE NO. IV970527
NOTE
Line Correspondences from Cooperating Spatial and Temporal
Grouping Processes for a Sequence of Images
Yuh-Lin Chang* and J. K. Aggarwal
Computer and Vision Research Center, Department of Electrical and Computer Engineering, The University of Texas at Austin,
Austin, Texas 78712
Received April 26, 1993; accepted April 30, 1996
hypotheses may grow exponentially. To address this prob-
lem, it is clear that more a priori information is needed. OneThis paper addresses the problem of matching line segments
in two images from a sequence of images. We propose a new way to incorporate such information is to make implicit
algorithm that employs relaxation labeling to integrate the per- assumptions about objects in motion, such as the local
ceptual grouping and feature matching processes. We consider smoothness of motion fields, which serves as the basis for
feature matching between two views as a ``temporal grouping'' most feature matching algorithms.
process, in addition to the traditional spatial groups established
In this paper we propose a new approach for image
by perceptual grouping in a single image. In the relaxation
matching based on generalized perceptual grouping andprocedure, we compare a line in the first image with multiple

  

Source: Aggarwal, J. K. - Department of Electrical and Computer Engineering, University of Texas at Austin

 

Collections: Computer Technologies and Information Sciences; Engineering