Using partial edge contour matches for efficient object category localization

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

Volumn 6315 LNCS, Issue PART 5, 2010, Pages 29-42

  Riemenschneider, Hayko ^a   Donoser, Michael ^a   Bischof, Horst ^a  

^a GRAZ UNIVERSITY OF TECHNOLOGY   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATES;

COMPUTATION TIME; EDGE CONTOUR; ERROR PRONES; EXPERIMENTAL EVALUATION; HIGH QUALITY; OBJECT CATEGORIES; PARTIAL CONTOURS; PRE-PROCESSING STEP;

COMPUTER VISION;

EID: 78149291014     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15555-0_3     Document Type: Conference Paper

References (29)

1. Shotton, J., Blake, A., Cipolla, R.: Contour-based learning for object detection. In: ICCV (2005)
2. Opelt, A., Pinz, A., Zisserman, A.: A boundary-fragment-model for object detection. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 575-588. Springer, Heidelberg (2006)
3. Ferrari, V., Fevrier, L., Jurie, F., Schmid, C.: Groups of adjacent contour segments for object detection. PAMI (2008)
4. Ravishankar, S., Jain, A., Mittal, A.: Multi-stage contour based detection of deformable objects. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 483-496. Springer, Heidelberg (2008)
5. Maji, S., Malik, J.: Object detection using a max-margin hough transform. In: CVPR (2009)
6. Ommer, B., Malik, J.: Multi-scale object detection by clustering lines. In: ICCV (2009)
7. Bai, X., Li, Q., Latecki, L., Liu, W., Tu, Z.: Shape band: A deformable object detection approach. In: CVPR (2009)
8. Zhu, Q., Wang, L., Wu, Y., Shi, J.: Contour context selection for object detection: A set-to-set contour matching approach. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part II. LNCS, vol. 5303, pp. 774-787. Springer, Heidelberg (2008)
9. Lu, C., Latecki, L., Adluru, N., Ling, H., Yang, X.: Shape guided contour fragment grouping with particle filters. In: ICCV (2009)
10. Sivic, J., Zisserman, A.: Video Google: A text retrieval approach to object matching in videos. In: ICCV (2003)
11. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. PAMI (2005)
12. Biederman, I.: Human image understanding: Recent research and a theory. In: Computer Vision, Graphics, and Image Processing, vol. 32 (1985)
13. Ferrari, V., Jurie, F., Schmid, C.: From images to shape models for object detection. In: IJCV (2009)
14. Berg, A., Berg, T., Malik, J.: Shape matching and object recognition using low distortion correspondences. In: CVPR (2005)
15. Ferrari, V., Tuytelaars, T., Gool, L.V.: Object detection by contour segment networks. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3953, pp. 14-28. Springer, Heidelberg (2006) (Pubitemid 44029664)
16. Ferrari, V., Jurie, F., Schmid, C.: Accurate object detections with deformable shape models learnt from images. In: CVPR (2007)
17. Leordeanu, M., Hebert, M., Sukthankar, R.: Beyond local appearance: Category recognition from pairwise interactions of simple features. In: CVPR (2007)
18. Belongie, S., Malik, J., Puzicha, J.: Shape matching and object recognition using shape contexts. PAMI (2002)
19. Gu, C., Lim, J., Arbelaez, P., Malik, J.: Recognition from regions. In: CVPR (2009)
20. Turney, J., Mudge, T., Volz, R.: Recognizing Partially Occluded Parts. PAMI (1985)
21. Brendel, W., Todorovic, S.: Video object segmentation by tracking regions. In: ICCV (2009)
22. Chen, L., Feris, R., Turk, M.: Efficient partial shape matching using smith-waterman algorithm. In: NORDIA (2008)
23. Felzenszwalb, P., Schwartz, J.: Hierarchical matching of deformable shapes. In: CVPR (2007)
24. Kokkinos, I., Yuille, A.: Hop: Hierarchical object parsing. In: CVPR (2009)
25. Donoser, M., Riemenschneider, H., Bischof, H.: Efficient partial shape matching of outer contours. In: Zha, H., Taniguchi, R.-i., Maybank, S. (eds.) ACCV 2009. LNCS, vol. 5994, pp. 281-292. Springer, Heidelberg (2009)
26. Donoser, M., Riemenschneider, H., Bischof, H.: Linked Edges as Stable Region Boundaries. In: CVPR (2010)
27. Martin, D., Fowlkes, C., Malik, J.: Learning to detect natural image boundaries using local brightness, color, and texture cues. PAMI (2004)
28. Xu, C., Liu, J., Tang, X.: 2D Shape Matching by Contour Flexibility. PAMI (2009)
29. Grauman, K., Darrell, T.: The pyramid match kernel: Discriminative classification with sets of image features. In: ICCV (2005)