IEEE Transactions on Pattern Analysis and Machine Intelligence
Real-time vergence control for binocular robots
International Journal of Computer Vision
Robot Vision
Multi-evidential Correlation \& Visual Echo Analysis
Multi-evidential Correlation \'& Visual Echo Analysis
Automatic feature correspondence for scene reconstruction
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Dense disparity estimation using Gabor filters and image derivatives
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
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This paper analyzes 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.