NDLI: Refinement of noisy correspondence using feedback from 3D motion

Content Provider	IEEE Xplore Digital Library
Author	Kim, Y.C. Price, K.
Copyright Year	1992
Description	Author affiliation: Dept. of Comput. Sci. & Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA (Kim, Y.C.; Price, K.)
Abstract	In automated feature-based motion analysis of multiple frames, correspondence data are usually noisy and fragmented. A technique that gradually refines the initial noisy correspondence data and links fragments of a single trajectory using feedback from 3D motion estimation is presented. First, 3D motion parameters are estimated using the initial correspondence data. Then, each noisy trajectory is partitioned into subsets of points, each of which conforms to the estimated motion. The best set is used as the input to the next motion estimation. This process is repeated, and the gaps in the refined correspondence data are filled by guidance from the predicted motion. Test results for a standard real image sequence are presented.<>
Starting Page	836
Ending Page	838
File Size	283083
Page Count	3
File Format	PDF
ISBN	0818628553
ISSN	10636919
DOI	10.1109/CVPR.1992.223245
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-06-15
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion analysis Motion estimation Intelligent robots Feature extraction Force feedback Joining processes Image segmentation Robotics and automation Intelligent systems Computer science
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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