Using GPUs to improve system performance in visual servo systems

IEEE/RSJ 2010 International Conference on Intelligent Robots and Systems, IROS 2010 - Conference Proceedings

Volumn , Issue , 2010, Pages 3937-3942

  Zang, Chuantao ^a   Hashimoto, Koichi ^a  

^a TOHOKU UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COPROCESSING; EFFICIENT SECOND-ORDER MINIMIZATION; EXPERIMENTAL DATA; GPU IMPLEMENTATION; HOMOGRAPHIES; LARGE IMAGES; PARALLEL PROCESSING; REAL TIME PERFORMANCE; SCALE INVARIANT FEATURE TRANSFORMS; SYSTEM RELIABILITY; TRACKING FAILURE; VISUAL SERVO SYSTEM;

ALGORITHMS; OPTIMIZATION; PROGRAM PROCESSORS; TRACKING (POSITION);

INTELLIGENT ROBOTS;

EID: 78651496224     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2010.5650418     Document Type: Conference Paper

References (19)

1. S. Hutchinson, G. D. Hager, P. I. Corke, "A tutorial on visual servo control", IEEE Trans. on Rob. and Autom, vol. 12, no. 5, pp. 651-670, 1996.
2. O. Faugeras, F. Lustman, "Motion and structure from motion in a piecewise planar environment", International Journal of Pattern Recognition and Artificial Intelligence, 2(3): 485-508, 1988.
3. M. Vargas, E. Malis, "Visual servoing based on an analytical homography decomposition", Joint 44th IEEE Conference on Decision and Control and European Control Conference, Seville, Spain, 2005.
4. E. Malis, M. Vargas, "Deeper understanding of the homography decomposition for vision-based control", Research Report 6303, INRIA, 2007.
5. Y. Fang,W. Dixon, D. Dawson, P. Chawda, "Homography-based visual servoing of wheeled mobile robots", IEEE Trans. on Systems, Man, and Cybernetics - Part B, 35(5): 1041-1050, 2005.
6. S. Benhimane, E. Malis, "Homography-based 2d visual tracking and servoing", International Journal of Robotic Research, 26(7): 661-676, 2007.
7. G. Silveira, E. Malis, "Direct Visual Servoing with respect to Rigid Objects", IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, USA, October 2007.
8. Shum, H. Y, Szeliski, R, "Construction of panoramic image mosaics with global and local alignment", International Journal of Computer Vision, 16(1): 63-84.
9. S. Benhimane, E. Malis, "Real-time image-based tracking of planes using efficient second-order minimization", IEEE/RSJ International Conference on Intelligent Robots Systems, Sendai, Japan, 2004.
10. D. G. Lowe, "Distinctive image features from scale-invariant keypoints", International Journal of Computer Vision, vol. 60, no. 2, pp. 91-110, Nov. 2004.
11. E. Malis, "Improving vision-based control using efficient second-order minimization techniques IEEE International Conference on Robotics and Automation", New Orleans, USA, April 2004.
12. E. Malis, "An efficient unified approach to direct visual tracking of rigid and deformable surfaces", IEEE/RSJ International Conference on Intelligent Robots and Systems, San Diego, USA, October 2007.
13. Y. Ke, R. Sukthankar, "PCA-SIFT: A more distinctive representation for local image descriptors", Proc. of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 511-517, 2004.
14. H. Bay, Y. Tuytelaars, G. L. Van, "SURF: Speeded up robust features", Computer Vision and Image Understanding,vol. 110, pp. 346-359, 2008.
15. S. Sinha, J.M. Frahm, M. Pollefeys, Y. Genc, "Feature tracking and matching in video using programmable graphics hardware", Machine Vision and Applications, March 2007.
16. S. Heymann, K. Muller, A. Smolic, B. Froehlich, T. Wiegand, "SIFT implementation and optimization for general-purpose GPU", in WSCG'07, 2007.
17. http://www.cs.unc.edu/ ccwu/siftgpu/
18. K. Toyama, G. Hager, "Incremental Focus of Attention for Robust Vision-Based Tracking", Int'l J. Computer Vision, 35(1): 45-63, Nov, 1999.
19. Amdahl, Gene, "Validity of the Single Processor Approach to Achieving Large-Scale Computing Capabilities", AFIPS Conference Proceedings, (30): 483-485, 1967.