Active segmentation for robotics

2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Volumn , Issue , 2009, Pages 3133-3139

  Mishra, Ajay ^a   Aloimonos, Yiannis ^a   Fermuller, Cornelia ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACTIVE OBSERVER; FIXATION POINT; IMAGE REGIONS; STEREO DISPARITY; VISUAL FIELDS;

INTELLIGENT ROBOTS;

OPTICAL FLOWS;

EID: 76249134185     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2009.5354325     Document Type: Conference Paper

References (23)

1. "Semantic robot vision challenge. http://www.semantic-robot-vision- challenge.org/."
2. J. Aloimonos, I.Weiss, and A. Bandyopadhyay, "Active vision," IJCV, vol. 1, no. 4, pp. 333-356, January 1988.
3. D. Ballard, "Animate vision," Artificial Intelligence Journal, vol. 48, no. 8, pp. 57-86, August 1991.
4. R. Bajcsy, "Active perception," Proc. of the IEEE special issue on Computer Vision, vol. 76, no. 8, pp. 966-1005, August 1988.
5. J.-O. Eklundh, "Vision in robotics: How a robot can segment figure from ground," in ECAI, 1998, pp. 689-693.
6. P. Nordlund and J.-O. Eklundh, "Real-time maintenance of figure-ground segmentation," in ICVS '99: Proceedings of the First International Conference on Computer Vision Systems. London, UK: Springer-Verlag, 1999, pp. 115-134.
7. K. Pahlavan, T. Uhlin, and J.-O. Eklundh, "Dynamic fixation and active perception," IJCV, vol. 17, no. 2, pp. 113-135, 1996.
8. K. Daniilidis, "Fixation simplifies 3d motion estimation," CVIU, vol. 68, no. 2, pp. 158-169, 1997.
9. D. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using local brightness, color and texture cues," T-PAMI, vol. 26, no. 5, pp. 530-549, May 2004.
10. A. Mishra and Y. Aloimonos, "Active segmentation with fixation," in ICCV, 2009.
11. J. Shi and J. Malik, "Normalized cuts and image segmentation," T-PAMI, vol. 22, no. 8, pp. 888-905, 2000.
12. P. F. Felzenszwalb and D. P. Huttenlocher, "Efficient graph-based image segmentation," IJCV, vol. 59, no. 2, pp. 167-181, 2004.
13. Z. Tu and S. Zhu, "Mean shift: a robust approach toward feature space analysis," T-PAMI, vol. 24, no. 5, pp. 603-619, May 2002.
14. Y. Boykov and M. Jolly, "Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images," in ICCV, 2001, pp. I: 105-112.
15. C. Rother, V. Kolmogorov, and A. Blake, ""grabcut": interactive foreground extraction using iterated graph cuts," ACM Trans. Graph., vol. 23, no. 3, pp. 309-314, 2004.
16. V. Kolmogorov, A. Criminisi, A. Blake, G. Cross, and C. Rother, "Bi-layer segmentation of binocular stereo video," in CVPR, 2005, pp. II: 407-414.
17. T. Brox, A. Bruhn, N. Papenberg, and J. Weickert, "High accuracy optical flow estimation based on a theory for warping." Springer, 2004, pp. 25-36.
18. E. N. Mortensen and W. A. Barrett, "Intelligent scissors for image composition," in SIGGRAPH, 1995, pp. I: 191-198.
19. D. Walther and C. Koch, "Modeling attention to salient proto-objects," Neural Networks, vol. 19, no. 4, pp. 1395-1407, April 2006.
20. L. Itti, C. Koch, and E. Niebur, "A model of saliency-based visual attention for rapid scene analysis," T-PAMI, vol. 20, no. 11, pp. 1254-1259, 1998.
21. J. T. Serences and S. Yantis, "Selective visual attention and perceptual coherence," Trends in Cognitive Sciences, vol. 10, no. 1, pp. 38 - 45, 2006. [Online]. Available: http://www.sciencedirect.com/science/ article/B6VH9-4HNSPSP-3/2/7578445d13145acb3c7352786e770868
22. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," IJCV, vol. 60, no. 2, pp. 91-110, 2004.
23. K. Mikolajczyk and C. Schmid, "An affine invariant interest point detector," in ECCV. Springer-Verlag, 2002.