Fast correspondence of unrectified stereo images using genetic algorithm and spline representation

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 7539, Issue , 2010, Pages

  Tippetts, Beau ^a   Lee, Dah Jye ^a   Archibald, James ^a  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM IMPLEMENTATION; DISPARITY MAP; MODIFIED ALGORITHMS; REAL TIME PERFORMANCE; SMALL POPULATION; SPLINE REPRESENTATION; STEREO IMAGE PAIRS; STEREO-IMAGE; TWO DIMENSIONAL NATURE;

COMPUTER VISION; GENETIC ALGORITHMS; SPLINES;

INTELLIGENT ROBOTS;

EID: 77951748518     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.841136     Document Type: Conference Paper

References (13)

1. Ruichek, Y., Issa, H., and Postaire, J.-G., "Genetic approach for obstacle detection using linear stereo vision," in [Proceedings of the IEEE Intelligent Vehicles Symposium], Intelligent Vehicles Symposium, 2000. IV 2000. Proceedings of the IEEE , 261-266 (2000).
2. Woo, S. and Dipanda, A., "Matching lines and points in an active stereo vision system using genetic algorithms," in [Proc. International Conference on Image Processing], 3, 332-335 (10-13 Sept. 2000). (Pubitemid 32469237)
3. Vlontzos, J. A. and Geiger, D., "A mrf approach to optical flow estimation," in [Proc. CVPR '92. IEEE Computer Society Conference on Computer Vision and Pattern Recognition], 853-856 (1992).
4. Lotti, J. L. and Giraudon, G., "Adaptive window algorithm for aerial image stereo," in [Proc. 12th IAPR International Conference on Pattern Recognition Vol. 1 - Conference A: Computer Vision & Image Processing], 1, 701-703 vol.1 (1994).
5. Kim, I.-H., Kim, D.-E., Cha, Y.-S., Lee, K.-h., and Kuc, T.-Y., "An embodiment of stereo vision system for mobile robot for real-time measuring distance and object tracking," in [Proc. International Conference on Control, Automation and Systems ICCAS '07], 1029-1033 (2007).
6. Sunyoto, H., van der Mark,W., and Gavrila, D. M., "A comparative study of fast dense stereo vision algorithms," in [Proc. IEEE Intelligent Vehicles Symposium], 319-324 (2004).
7. Masrani, D. K. and MacLean,W. J., "A real-time large disparity range stereo-system using fpgas," in [Proc. IEEE International Conference on Computer Vision Systems ICVS '06], 13-13 (2006).
8. Murphy, C., Lindquist, D., Rynning, A. M., Cecil, T., Leavitt, S., and Chang, M. L., "Low-cost stereo vision on an fpga," in [Proc. 15th Annual IEEE Symposium on Field-Programmable Custom Computing Machines FCCM 2007], 333-334 (2007).
9. Zhan, P., Lee, D.-J., and Beard, R., "Solving correspondence problems with 1d signal matching," in [Proc. SPIE Intelligent Robots and Computer Vision XXII], 5608, 207, SPIE (November 2004).
10. Szeliski, R. and Coughlan, J., "Hierarchical spline-based image registration," in [Proc. CVPR '94. IEEE Computer Society Conference on Computer Vision and Pattern Recognition], 194-201 (1994).
11. Koppen, M., Franke, K., and Vicente-Garcia, R., "Tiny gas for image processing applications," IEEE Computational Intelligence Magazine 1(2), 17-26 (2006).
12. Horn, B. K. and Schunck, B. G., "Determining optical flow," Artificial Intelligence 17, 185-203 (1981).
13. Chipperfield, A., Fleming, P., Pohlheim, H., and Fonseca, C., "The matlab genetic algorithm toolbox v1.2 user's guide," (Jan 1995).