Support vector machines and gabor kernels for object recognition on a humanoid with active foveated vision

2004 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

Volumn 1, Issue , 2004, Pages 668-673

  Ude, Aleš ^a   Gaskett, Chris ^b   Cheng, Gordon ^c  

^a ADVANCED TELECOMMUNICATIONS RESEARCH INSTITUTE INTERNATIONAL   (Japan)

^b JO EF STEFAN INSTITUTE   (Slovenia)

^c JAMES COOK UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CAMERAS; COMPUTER VISION; DATA ACQUISITION; FUNCTIONS; IMAGE ANALYSIS; OBJECT RECOGNITION; ROBOT APPLICATIONS; SENSORS; VECTORS; WAVELET TRANSFORMS;

FOVEATED VISION; GABOR KERNEL FUNCTIONS; HUMANOID ROBOTS; SUPPORT VECTOR MACHINES;

ROBOT LEARNING;

EID: 14044255921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (24)

1. A. Ude, C. G. Atkeson, and G. Cheng, "Combining peripheral and foveal humanoid vision to detect, pursue, recognize and act,"Proc. IEEE/RSJ Int. Conf. Intelligent Robots and Systems, Las Vegas, Nevada, October 2003, pp. 2173-2178.
2. C. Breazeal, A. Edsinger, P. Fitzpatrick, and B. Scassellati, "Active vision for sociable robots,"IEEE Trans. Systems, Man, and Cybernetics - Part A: Systems and Humans,vol. 31, No. 5, pp. 443-453, September 2001.
3. H. Kozima and H. Yano, "A robot that learns to communicate with human caregivers,"Proc. Int. Workshop on Epigenetic Robotics, Lund, Sweden, 2001.
4. B. Scassellati, "Eye finding via face detection for a foveated, active vision system,"Proc. Fifteenth Nat. Conf. Artificial Intelligence (AAAI'98), Madison, Wisconsin, 1998, pp. 969-976.
5. T. Shibata, S. Vijayakumar, J. Conradt, and S. Schaal, "Biomimetic oculomotor control,"Adaptive Behavior,vol. 9, No. 3/4, pp. 189-208, 2001.
6. S. Rogeaux and Y. Kuniyoshi, "Robust tracking by a humanoid vision system,"Proc. IAPR First Int. Workshop on Humanoid and Friendly Robotics, Tsukuba, Japan, 1998.
7. G. Metta, F. Panerai, R. Manzotti, and G. Sandini, "Babybot: an artificial developing robotic agent,"Proc. Sixth Int. Conf. on the Simulation of Adaptive Behaviors (SAB 2000), Paris, France, September 2000.
8. V. Krüger and G. Sommer, "Gabor wavelet networks for efficient head pose estimation,"Image and Vision Computing,vol. 20, No. 9-10, pp. 665-672, 2002.
9. T.-S. Lee, "Image representation using 2-D Gabor wavelets,"IEEE Trans. Pattern Anal. Machine Intell.,vol. 18, No. 10, pp. 1-13, 1996.
10. J. G. Daugman, "Complete discrete 2-D Gabor transforms by neural networks for image analysis and compression,"IEEE Trans. Acoustics, Speech, and Signal Processing,vol. 36, No. 7, pp. 1169-1179, 1988.
11. V. Krüger and G. Sommer, "Wavelet networks for face processing,"J. Opt. Soc. An A,vol. 19, No. 6, pp. 1112-1119, 2002.
12. C. Hu, R. Feris, and M. Turk, "Active wavelet networks for face alignment,"Proc. British Machine Vision Conference, Norwich, UK, 2003.
13. I. M. Wolfe, "Moving towards solutions to some enduring controversies in visual search,"Trends in Cognitive Sciences,vol. 7, No. 2, pp. 70-76, February 2003.
14. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis,"IEEE Trans. Pattern Anal. Machine Intell.,vol. 20, No. 11, pp. 1254-1259, November 1998.
15. T. S. Horowitz and J. M. Wolfe, "Visual search has no memory,"Nature,vol. 394, pp. 575-577, August 1998.
16. P. Verghese, "Visual search and attention: A signal detection theory approach,"Neuron,vol. 31, pp. 523-535, August 2001.
17. A. Ude and C. G. Atkeson, "Probabilistic detection and tracking at high frame rates using affine warping,"Proc. Int. Conf. Pattern Recognition,vol. II, Québec City, Canada, August 2002, pp. 6-9.
18. S. Hutchinson, G. D. Hager, and P. I. Corke, "A tutorial on visual servo control,"IEEE Trans. Robotics Automat.,vol. 12, No. 5, pp. 651-670, 1996.
19. D. Marr and H. K. Nishihara, "Representation and recognition of the spatial organization of three-dimensional shapes,"Proc. R. Soc. of London, B,vol. 200, pp. 269-294, 1978.
20. M. J. Tarr and H. H. Bülthoff, "Image-based object recognition in man, monkey, and machine,"Cognition,vol. 67, No. 1-2, pp. 1-20, 1998.
21. L. Wiskott, J.-M. Fellous, N. Krüger, and C. von der Malsburg, "Face recognition by elastic bunch graph matching,"IEEE Trans. Pattern Anal. Machine Intell.,vol. 19, No. 7, pp. 775-779, 1997.
22. G. Guo, S. Z. Li, and K. L. Chan, "Support vector machines for face recognition,"Image and Vision Computing,vol. 19, pp. 631-638, 2001.
23. M. Pontil and A. Verri, "Support vector machines for 3D object recognition,"IEEE Trans. Pattern Anal. Machine Intell.,vol. 20, No. 6, pp. 637-646, 1998.
24. T. Joachims, "Making large-scale SVM learning practical, "Advances in Kernel Methods - Support Vector Learning, B. Schölkopf, C. J. C. Burges, and A. J. Smola, Eds., Cambridge, Mass., 1999, pp. 768-776.