CSDD features: Center-surround distribution distance for feature extraction and matching

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5304 LNCS, Issue PART 3, 2008, Pages 140-153

  Collins, Robert T ^a   Ge, Weina ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; UNDERGROUND STRUCTURES;

BACKGROUND PIXELS; FEATURE DESCRIPTORS; FEATURE DISTRIBUTION; FEATURE EXTRACTION AND MATCHING; FOREGROUND REGIONS; INTEREST REGIONS; PROOF OF CONCEPT; STATE-OF-THE-ART APPROACH;

FEATURE EXTRACTION;

EID: 56749178351     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88690-7_11     Document Type: Conference Paper

References (22)

1. Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., Gool, L.V.: A comparison of affine region detectors. International Journal of Computer Vision 65(1-2), 43-72 (2005)
2. Kadir, T., Zisserman, A., Brady, M.: An Affine Invariant Salient Region Detector. In: Pajdla, T., Matas, J(G.) (eds.) ECCV 2004. LNCS, vol. 3021, pp. 345-457. Springer, Heidelberg (2004)
3. Schaffalitzky, F., Zisserman, A.: Multi-view Matching for Unordered Image Sets, or How Do I Organize My Holiday Snaps? In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 414-431. Springer, Heidelberg (2002)
4. Tuytelaars, T., Gool, L.V.: Content-based image retrieval based on local affinely invariant regions. In: International Conference on Visual Information Systems, pp. 493-500 (1999)
5. Matas, J., Chum, O., Urban, M., Pajdla, T.: Robust wide baseline stereo from maximally stable extremal regions. In: British Machine Vision Conference, pp. 384-393 (2002)
6. Mikolajczyk, K., Schmid, C.: An Affine Invariant Interest Point Detector. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2350, pp. 128-142. Springer, Heidelberg (2002)
7. Bay, H., Tuytelaars, T., Gool, L.V.: Surf: Speeded up robust features. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3954, pp. 404-417. Springer, Heidelberg (2006)
8. Lindeberg, T.: Scale-Space Theory in Computer Vision. Kluwer, The Netherlands (1994)
9. Itti, L., Koch, C.: Computational modeling of visual attention. Nature Reviews Neuroscience 2, 194-203 (2001)
10. Liu, T., Sun, J., Zheng, N.N., Tang, X., Shum, H.Y.: Learning to detect a salient object. In: IEEE Computer Vision and Pattern Recognition, pp. 1-8 (2007)
11. Lowe, D.: Distinctive image features from scale-invariant keypoints, cascade filtering approach. International Journal of Computer Vision 60, 91-110 (2004)
12. Rubner, Y., Puzicha, J., Tomasi, C., Buhmann, J.: Empirical evaluation of dissimilarity measures for color and texture. Computer Vision and Image Understanding 84, 25-43 (2001)
13. Porikli, F.: Integral histogram: A fast way to extract higtograms in cartesian spaces. In: IEEE Computer Vision and Pattern Recognition, vol. I, pp. 829-836 (2005)
14. Rubner, Y., Tomasi, C., Guibas, L.: The earth mover's distance as a metric for image retrieval. International Journal of Computer Vision 40, 91-121 (2000)
15. Levina, E., Bickel, P.: The earth mover's distance is the Mallows distance: Some insights from statistics. In: International Conference on Computer Vision, vol. II, pp. 251-256 (2001)
16. Zhao, Q., Brennan, S., Tao, H.: Differential emd tracking. In: International Conference on Computer Vision, pp. 1-8 (2007)
17. Villani, C.: Topics in Optimal Transportation. Graduate Studies in Mathematics series, vol. 58. American Mathematical Society, Providence (2003)
18. Ohta, Y., Kanade, T., Sakai, T.: Color information for region segmentation. Computer Graphics and Image Processing 13, 222-241 (1980)
19. Deriche, R.: Fast algorithms for low-level vision. IEEE Trans. Pattern Analysis and Machine Intelligence 12, 78-87 (1990)
20. Farneback, G., Westin, C.F.: Improving Deriche-style recursive gaussian filters. Journal of Mathematical Imaging and Vision 26, 293-299 (2006)
21. Nister, D.: Visual odometry. In: IEEE Computer Vision and Pattern Recognition, vol. I, pp. 652-659 (2004)
22. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Trans. Pattern Analysis and Machine Intelligence 27(10), 1615-1630 (2005)