DocumentCode :
759909
Title :
An improved power cepstrum based stereo correspondence method for textured scenes
Author :
Smith, Philip W. ; Nandhakumar, N.
Author_Institution :
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Volume :
18
Issue :
3
fYear :
1996
fDate :
3/1/1996 12:00:00 AM
Firstpage :
338
Lastpage :
348
Abstract :
This paper analyses the performance of cepstral approaches for solving the stereo correspondence problem. A quantitative analysis of the effects of noise, foreshortening differences, and photometric variations on existing cepstral correspondence techniques is presented. A modified approach that is less sensitive to these effects is developed for textured scenes, and analytical arguments for its robustness are developed. The results of a comparative study of the new cepstral technique, the original cepstral algorithm and the cross-correlation approach are shown and discussed. The performance of the new method is experimentally verified on textured surfaces
Keywords :
cepstral analysis; computer vision; filtering theory; image texture; stereo image processing; cross-correlation; depth estimation; foreshortening correction; noise effect; photometric variations; power cepstrum; quantitative analysis; stereo image correspondence; stereopsis; textured scenes; textured surfaces; Cepstral analysis; Cepstrum; Filtering; Image texture analysis; Layout; Noise robustness; Performance analysis; Photometry; Stereo vision; Surface texture;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.485563
Filename :
485563
Link To Document :
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