Fast color/texture segmentation for outdoor robots

2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS

Volumn , Issue , 2008, Pages 4078-4085

  Blas, Morten Rufus ^a   Agrawal, Motilal ^b   Sundaresan, Aravind ^b   Konolige, Kurt ^b  

^a TECHNICAL UNIVERSITY OF DENMARK   (Denmark)

^b SRI INTERNATIONAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

3D OBSTACLES; DESCRIPTORS; INTEGRATED APPROACH; K-MEANS; LOCAL COLOR; NATURAL IMAGES; NATURAL PATHS; OUTDOOR IMAGES; SEGMENTATION ALGORITHMS; SYNTHETIC IMAGES; TEXTURE VARIATION; TWO STAGE; WHOLE SYSTEMS;

IMAGE SEGMENTATION; INTELLIGENT ROBOTS; OBSTACLE DETECTORS; TEXTURES;

THREE DIMENSIONAL;

EID: 62449124086     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IROS.2008.4651086     Document Type: Conference Paper

References (23)

1. T. Leung and J. Malik, "Representing and recognizing the visual appearance of materials using three-dimensional textons," IJCV, vol.43 (1), 2001.
2. R. Haralick, K. Shanmugan, and I. Dinstein, "Textural features for image classification," IEEE Trans. Syst., Man. Cybern., vol.SMC-3 6, pp. 610-621, 1973.
3. C. Kervrann and F. Heitz, "A markov random field model-based approach to unsupervised texture segmentation using local and global spatial statistics," IEEE Trans. Image Process, vol.4 6, pp. 856-862, 1995.
4. M. Bello, "A combined markov random field and wave-packet transform-based approach for image segmentation," IEEE Trans. Image Process, vol.3 6, pp. 834-846, 1994.
5. B. Manjunath and R. Chellappa, "Unsupervised texture segmentation using markov random field models," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.13 5, pp. 478-482, 1991. (Pubitemid 21676522)
6. A. Jain and F. Farrokhnia, "Unsupervised texture segmentation using gabor filters," Pattern Recognition, vol.24 12, pp. 1167-1186, 1991.
7. M. Unser, "Texture classification and segmentation using wavelet frames," IEEE Trans. Image Process., vol.4 11, pp. 1549-1560, 1995.
8. A. Bovik, M. Clark, and W. Geisler, "Multichannel texture analysis using localized spatial filters," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.12 1, pp. 55-73, 1990. (Pubitemid 20653599)
9. D. Martin, C. Fowlkes, and J. Malik, "Learning to detect natural image boundaries using local brightness, color, and texture cues," IEEE Trans. Pattern Analysis and Machine Intelligence, vol.26, 2004.
10. C. Chen and P. Wang, Handbook of Pattern Recognition and Computer Vision, 3rd Edition. World Scientific, 2005.
11. A. Angelova, L. Matthies, D. Helmick, and P. Perona, "Slip prediction using visual information," RSS, 2006.
12. M. Varma and A. Zisserman, "Texture classification: Are filter banks necessary?" Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, vol.2, pp. 691-696, 2003.
13. S. Liapis, E. Sifakis, and G. Tziritas, "Color and/or texture segmentation using deterministic relaxation and fast marching algorithms," Journal of Visual Communication and Image Representation, vol.15, pp. 1-26, 2004.
14. A. Jain and R. Dubes, Algorithms for Clustering Data, E. Cliffs, Ed. Prentice-Hall, 1988.
15. R. Duda and P. Hart, Pattern Classification and Scene Analysis. Wiley, 1973.
16. J. Martin-Herrero, M. Ferreiro-Arman, and J. Alba-Castro, "Grading textured surfaces with automated soft clustering in a supervised som," Proceedings International Conference on Image Analysis and Recognition (ICIAR), pp. 323-330, 2004. (Pubitemid 39749730)
17. P. Viola and M. Jones, "Robust real-time face detection," in ICCV01, 2001.
18. D. Fernandez and A. Price, "Visual detection and tracking of poorly structured dirt roads," in 12th International Conference on Advanced Robotics, 2005, 18-20 July 2005, pp. 553-560.
19. H. Dahlkamp, A. Kaehler, D. Stavens, S. Thrun, and G. R. Bradski, "Self-supervised monocular road detection in desert terrain," in Robotics: Science and Systems, 2006.
20. N. Soquet, D. Aubert, and N. Hautiere, "Road segmentation supervised by an extended v-disparity algorithm for autonomous navigation," in Proc. IEEE Intelligent Vehicles Symposium, 13-15 June 2007, pp. 160-165.
21. J. Zhang and H.-H. Nagel, "Texture-based segmentation of road images," in Proceedings of the Intelligent Vehicles '94 Symposium, October 1994, pp. 260-265.
22. T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu, "An efficient k-means clustering algorithm: analysis and implementation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.24(7), pp. 881-892, 2002. (Pubitemid 34835464)
23. Y. Rubner, C. Tomasi, and L. J. Guibas, "A metric for distributions with applications to image databases," in ICCV '98: Proceedings of the Sixth International Conference on Computer Vision. Washington, DC, USA: IEEE Computer Society, 1998, p. 59.