A VLSI-compatible computer vision algorithm for stereoscopic depth analysis in real-time

International Journal of Computer Vision

Volumn 49, Issue 1, 2002, Pages 39-55

  Porr, Bernd ^a   Nürenberg, Bernd ^b   Wörgötter, Florentin ^a  

^a UNIVERSITY OF STIRLING   (United Kingdom)

^b I to I GmbH   (Germany)

Author keywords

Causal processing; Electronic filter; Phase based; Stereo disparity

Indexed keywords

ALGORITHMS; CAMERAS; CONVOLUTION; IIR FILTERS; IMAGE ANALYSIS; LAPLACE TRANSFORMS; MOTION PLANNING; QUALITY CONTROL; REAL TIME SYSTEMS; STEREO VISION; TRANSFER FUNCTIONS; VLSI CIRCUITS;

AUTONOMOUS ROBOT NAVIGATION; CASUAL PROCESSING; PHASE BASED ALGORITHMS; STEREO DISPARITY; STEREOSCOPIC DEPTH ANALYSIS;

COMPUTER VISION;

EID: 0036697683     PISSN: 09205691     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1019825715052     Document Type: Article

References (20)

1. Barnard, S. and Fischler, M. 1982. Computational stereo. ACM Comput. Surveys, 14(4):553-572.
2. Barron, J.L., Fleet, D., and Beauchemin, S. 1994. Performance of optical flow techniques. IJCV, 12(1):43-77.
3. Cozzi, A., Crespi, B., Valentinotti, F., and Wörgötter, F. 1997. Performance of phase-based algorithms for disparity estimation. Mach. Vision Appl., 9(5/6):334-340.
4. Dhond, U.R. and Aggarwal, J.K. 1989. Structure from stereo: A review. IEEE Trans. Man Mach. Cybern., 19(6):1489-1510.
5. Faugeras O.D. 1993. Three-Dimensional Computer Vision. MIT Press: Cambridge, MA.
6. Fleet, D. 1994. Disparity from local weighted phase-correlation. In IEEE Int. Conf. Image Process., San Antonio, pp. 48-56.
7. Fleet, D., Jepson, A., and Jenkin, M. 1991. Phase-based disparity measurement. Comp. Vision, Graphic & Image Process., 53(2):198-210.
8. Fleet, D., Jepson, A., and Tsotsos, J. 1991. Techniques for disparity measurement. Comp. Vision, Graphic & Image Process., 53(1):14-30.
9. Fleet, D.J. and Jepson, A.D. 1993. Stability of phase information. IEEE Trans. PAMI, 15(12):1253-1268.
10. Fleet, D.J. and Langley, K. 1993. Toward real-time optical flow. In Proc. Conf. on Vision Interface, Toronto, Canada, pp. 116-124.
11. Fleet, D.J. and Langley, K. 1995. Recursive filters for optical flow. IEEE Trans. PAMI, 17:61-67.
12. Gabor, D. 1946. Theory of communication. J. Institution of Electrical Engineers, 93 Part III:429-457.
13. Haralick, R.M. and Shapiro, L.G. 1992. Computer and Robot Vision, vol. 2. Addison Wesley: Reading, MA.
14. Henkel, R.D. 1994. Segmentation with synchronizing neural oscillators. Technical Report 4, Zentrum für Kognitionswissenschaften, Universität Bremen.
15. Kanade, T., Kano, H., and Kimura, S. 1995. Development of a video-rate stereo machine. In Proc. Int. Robotics and System Conf. (IROS-95), Pittsburg, PA.
16. Kuglin, C.D. and Hines, D.C. 1975. The phase correlation image alignment method. In Proc. IEEE Int. Conf. on Cybernetics and Society, pp. 163-165.
17. Langley, K. and Fleet, D. 1992. Recursive filters for phase based optic flow. In Proc. 9th Isr. Symp. AI Comput. Vision, Ramat San Conf., pp. 255-264.
18. Langley, K., Atherton, T.J., Wilson, R.G., and Larcombe, M.H.E. 1991. Vertical and horizontal disparities from phase. Image and Vision Comp., 9(5):296-302.
19. Sanger, T.D. 1988. Stereo disparity computation using gabor filters. Biol. Cybern., 59:405-418.
20. For a commercially available stereo-system see: http://www.videredesign.com/svs.htm