A shape-based object class model for knowledge transfer

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 373-380

  Stark, Michael ^a   Goesele, Michael ^a   Schiele, Bernt ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

KNOWLEDGE TRANSFER; LOCAL SYMMETRY; OBJECT CLASS; PARTIAL KNOWLEDGE; ROBUST DETECTION; SHAPE BASED;

KNOWLEDGE MANAGEMENT;

COMPUTER VISION;

EID: 77953222843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459231     Document Type: Conference Paper

References (38)

1. W.-K. Ahn and W. Brewer. Psychological studies of explanation-based learning. In G. DeJong, editor, Investigating Explanation-Based Learning. Kluwer, 1993.
2. Y. Amit, M. Fink, N. Srebro, and S. Ullman. Uncovering shared structures in multiclass classification. In ICML, 2007.
3. E. Bart and S. Ullman. Cross-generalization: Learning novel classes from a single example by feature replacement. In CVPR, 2005.
4. E. Bart and S. Ullman. Single-example learning of novel classes using representation by similarity. In BMVC, 2005.
5. S. Ben-David and R. Schuller. Exploiting task relatedness for multiple task learning. In COLT, 2003.
6. M. Brady and H. Asada. Smoothed local symmetries and their implementation. In IJRR, 1984.
7. R. Brooks. Model-based three dimensional interpretation of two dimensional images. PAMI'83.
8. T. Cootes. An introduction to active shape models, 2000.
9. L. Fei-Fei, R. Fergus, and P. Perona. One-shot learning of object categories. PAMI, 28(4):594-611, 2006.
10. A. Ferencz, E. Learned-Miller, and J. Malik. Building a Classification Cascade for Visual Identification from One Example. In ICCV'05.
11. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR, 2003.
12. V. Ferrari, F. Jurie, and C. Schmid. Accurate object detection with deformable shape models learnt from images. In CVPR, 2007.
13. V. Ferrari, T. Tuytelaars, and L. J. V. Gool. Object detection by contour segment networks. In ECCV, 2006.
14. M. Fink. Object classification from a single example utilizing class relevance pseudo-metrics. In NIPS, 2004.
15. M. Fink and S. Ullman. From aardvark to zorro: A benchmark for mammal image classification. IJCV, 77(1-3):143-156, 2008.
16. M. Fritz and B. Schiele. Decomposition, discovery and detection of visual categories using topic models. In CVPR, 2008.
17. W. R. Gilks, S. Richardson, and D. J. Spiegelhalter. Markov Chain Monte Carlo In Practice. 1996.
18. F. Jurie and C. Schmid. Scale-invariant shape features for recognition of object categories. In CVPR, 2004.
19. M. W. Lee and I. Cohen. Proposal maps driven mcmc for estimating human body pose in static images. In CVPR, 2004.
20. B. Leibe, A. Leonardis, and B. Schiele. An implicit shape model for combined object categorization and segmentation. In Toward Category-Level Object Recognition, 2006.
21. M. Leordeanu, M. Hebert, and R. Sukthankar. Beyond local appearance: Category recognition from pairwise interactions of simple features. In CVPR, 2007.
22. K. Levi, M. Fink, and Y. Weiss. Learning from a small number of training examples by exploiting object categories. In Workshop of Learning in Computer Vision, 2004.
23. D. R. Martin, C. Fowlkes, and J. Malik. Learning to detect natural image boundaries using local brightness, color, and texture cues. PAMI, 26(5):530-549, 2004.
24. E. Miller, N. Matsakis, and P. Viola. Learning from One Example Through Shared Densities on Transforms. In CVPR, 2000.
25. Y. Moses, S. Ullman, and S. Edelman. Generalization across changes in illumination and viewing position in upright and inverted faces. Tech. rep., Weizmann Institute, 1993.
26. R. Nevatia and T. Binford. Description and recognition of curved objects. USC Computer Vision, 1977.
27. M. Park, S. Lee, P.-C. Chen, S. Kashyap, A. A. Butt, and Y. Liu. Performance evaluation of state-of-the-art discrete symmetry detection algorithms. In CVPR, 2008.
28. S. Ravishankar, A. Jain, and A. Mittal. Multi-stage contour based detection of deformable objects. In ECCV, 2008.
29. P. Saint-Marc, H. Rom, and G. Medioni. B-spline contour representation and symmetry detection. PAMI, 15(11):1191-1197, 1993.
30. M. Stark and B. Schiele. How good are local features for classes of geometric objects. In ICCV, 2007.
31. E. Sudderth, A. Torralba,W. T. Freeman, and A.Willsky. Describing visual scenes using transformed objects and parts. IJCV, 2008.
32. S. Thrun. Is learning the n-th thing any easier than learning the first. In NIPS, 2006.
33. A. Torralba, K. Murphy, andW. Freeman. Sharing visual features for multiclass and multiview object detection. In CVPR, 2004.
34. Z. Tu, X. Chen, A. Yuille, and S. Zhu. Image parsing: Unifying segmentation, detection and recognition. IJCV, 2005.
35. Q. Zhu, L.Wang, Y.Wu, and J. Shi. Contour context selection for object detection: A set-to-set contour matching approach. In ECCV'08.
36. S.-C. Zhu. Embedding gestalt laws in markov random fields. In PAMI, 1999.
37. S.-C. Zhu, R. Zhang, and Z. Tu. Integrating bottom-up/top-down for object recognition by data driven markov chain monte carlo. In CVPR, 2000.
38. A. Zweig and D.Weinshall. Exploiting object hierarchy: Combining models from different category levels. In ICCV, 2007.