A comparative evaluation of multimodal dense stereo correspondence measures

ROSE 2011 - IEEE International Symposium on Robotic and Sensors Environments, Proceedings

Volumn , Issue , 2011, Pages 143-148

  Torabi, Atousa ^a   Najafianrazavi, Mahya ^a   Bilodeau, Guillaume Alexandre ^a  

^a ÉCOLE POLYTECHNIQUE DE MONTRÉAL   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE EVALUATIONS; HUMAN MONITORING; LOCAL SELFSIMILARITY; MULTI-MODAL; MUTUAL INFORMATIONS; NORMALIZED CROSS-CORRELATION; STEREO CORRESPONDENCES; STEREO METHOD; VIDEO FRAME; WINNER TAKE ALLS;

ROBOTICS; SENSORS;

MONITORING;

EID: 81055136688     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROSE.2011.6058540     Document Type: Conference Paper

References (13)

1. G. Egnal, "Mutual information as a stereo correspondence measure," Tech. Rep. MS-CIS-00-20, University of Pennsylvania, 2000.
2. S. J. Krotosky and M. M. Trivedi, "Mutual information based registration of multimodal stereo videos for person tracking," Computer Vision and Image Understanding, vol. 106, no. 2-3, pp. 270 - 287, 2007.
3. H.-M. Chen, P. Varshney, and M.-A. Slamani, "On registration of regions of interest (roi) in video sequences," in IEEE Conference on Advanced Video and Signal Based Surveillance (AVSS 2003), 2003, pp. 313 - 318.
4. D. Scharstein and R. Szeliski, "A taxonomy and evaluation of dense two-frame stereo correspondence algorithms," Int. J. Comput. Vision, vol. 47, pp. 7-42, 2002.
5. B. Zitova and J. Flusser, "Image registration methods: a survey," Image and Vision Computing, vol. 21, pp. 977-1000, 2003.
6. H. Hirschmuller and D. Scharstein, "Evaluation of cost functions for stereo matching," in Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on, june 2007, pp. 1 -8.
7. A. Gil, O. Mozos, M. Ballesta, and O. Reinoso, "A comparative evaluation of interest point detectors and local descriptors for visual slam," Machine Vision and Applications, vol. 21, pp. 905-920, 2010.
8. J. Sarvaiya, S. Patnaik, and S. Bombaywala, "Image registration by template matching using normalized cross-correlation," in Advances in Computing, Control, Telecommunication Technologies, 2009. ACT '09. International Conference on, dec. 2009, pp. 819 -822.
9. C. Fookes, A. Maeder, S. Sridharan, and J. Cook, "Multi-spectral stereo image matching using mutual information," in 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004. Proceedings. 2nd International Symposium on, sept. 2004, pp. 961 - 968.
10. E. Shechtman and M. Irani, "Matching local self-similarities across images and videos," in IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007, pp. 1 -8.
11. N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," in Proceedings of the 2005 IEEE Computer Society Confer- ence on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01, ser. CVPR '05, 2005, pp. 886-893.
12. A. Torabi and G. A. Bilodeau, "Local self-similarity as a dense stereo correspondence measure for themal-visible video registration," in 2011 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (CVPRW2011), 2010.
13. R. Mayoral and M. Aurnhammer, "Evaluation of correspondence errors for stereo," Pattern Recognition, International Conference on, vol. 4, pp. 104-107, 2004.