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