Asymmetric region-to-image matching for comparing images with generic object categories

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 2344-2351

  Kim, Jaechul ^a   Grauman, Kristen ^a  

^a UNIVERSITY OF TEXAS AT AUSTIN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CALTECH; DATA SETS; FEATURE MATCHING ALGORITHMS; GEOMETRIC CONSTRAINT; IMAGE MATCH; MATCHING SCORE; NEAREST-NEIGHBOR RECOGNITION; NON-RIGID DEFORMATION; OBJECT CATEGORIES; OBJECT CATEGORY RECOGNITION; PROGRAMMING SOLUTIONS; REGION MATCHING; SEGMENTED IMAGES;

ALGORITHMS; COMPUTER VISION; DYNAMIC PROGRAMMING; OBJECT RECOGNITION;

IMAGE MATCHING;

EID: 77955996743     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539923     Document Type: Conference Paper

References (33)

1. D. Lowe. Distinctive Image Features from Scale-Invariant Keypoints. IJCV, 60(2), 2004.
2. S. Belongie, J. Malik, and J. Puzicha. Shape Matching and Object Recognition Using Shape Contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 24(24):509-522, 2002.
3. V. Ferrari, T. Tuytelaars, and L.B. Gool. Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views. IJCV, 67(2):159-188, April 2006.
4. J. Kannala, E. Rahtu, B. Brandt, and J. Heikkila. Object Recognition and Segmentation by Non-Rigid Quasi-Dense Matching. In CVPR, 2008.
5. J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Lost in Quantization: Improving Particular Object Retrieval in Large Scale Image Databases. In CVPR, 2008.
6. M. Leordeanu and M. Hebert. A Spectral Technique for Correspondence Problems using Pairwise Constraints. In ICCV, 2005.
7. A. Berg, T. Berg, and J. Malik. Shape Matching and Object Recognition Low Distortion Correspondences. In CVPR, 2005.
8. E. Nowak, F. Jurie, and B. Triggs. Sampling Strategies for Bag-of-Features Image Classification. In ECCV, 2006.
9. T. Quack, V. Ferrari, B. Leibe, and L.B. Gool. Efficient Mining of Frequent and Distinctive Feature Configurations. In ICCV, 2007.
10. Y. J. Lee and K. Grauman. Foreground Focus: Unsupervised Learning from Partially Matching Images. IJCV, 85(2), May 2009.
11. J. Sivic and A. Zisserman. Video Data Mining Using Configurations of Viewpoint Invariant Regions. In CVPR, 2004.
12. M. Cho, J. Lee, and K.M. Lee. Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering. In ICCV, 2009.
13. C. Liu, J. Yuen, A. Torralba, J. Sivic, and W. Freeman. Sift Flow: Dense Correspondences across Different Scenes. In ECCV, 2008.
14. Z. Wu, Q. Ke, M. Isard, and J. Sun. Bundling Features for Large Scale Partial-Duplicate Web Image Search. In CVPR, 2009.
15. Z. Lu and H. Ip. Image Categorization with Spatial Mismatch Kernels. In CVPR, 2009.
16. C. Gu, J. Lim, P. Arbelaez, and J.Malik. Recognition using Regions. In CVPR, 2009.
17. S. Todorovic and N. Ahuja. Extracting Subimages of an Unknown Category from a Set of Images. In CVPR, 2006.
18. S. Todorovic and N. Ahuja. Learning Subcategory Relevances for Category Recognition. In CVPR, 2008.
19. S. Todorovic and N. Ahuja. Region-Based Hierarchical Image Matching. IJCV, 78(1):47-66, January 2008.
20. T. Malisiewicz and A. Efros. Recognition by Association via Learning Per-Example Distances. In CVPR, 2008.
21. P. Arbelaez, M. Marie, C. Fowlkes, and J. Malik. From Contours to Regions: An Empirical Evaluation. In CVPR, 2009.
22. M. Muja and D. Lowe. Fast Approximate Nearest Neighbors with Automatic Algorithm Configuration. In VISAPP, 2009.
23. G. Griffin, A. Holub, and P. Perona. Caltech-256 Object Category Dataset. Technical report, CalTech, 2007.
24. M. Varma and D. Ray. Learning the Discriminative Power-Invariance Trade-Off. In ICCV, 2007.
25. A. Berg. Shape Matching and Object Recognition. PhD thesis, Compute Science Division, Berkeley, 2005.
26. K. Grauman and T. Darrell. The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features. In ICCV, 2005.
27. H. Zhang, A. Berg, M.Marie, and J.Malik. SVM-KNN: Discriminative Nearest Neighbor Classfication for Visual Category Recognition. In CVPR, 2006.
28. O. Boiman, E. Shechtman, and M. Irani. In Defense of Nearest-Neighbor Based Image Classification. In CVPR, 2008.
29. A. Kumar and C. Sminchisescu. Support Kernel Machines for Object Recognition. In ICCV, 2007.
30. Y. Lin, T. Liu, and C. Fuh. Local Ensemble Kernel Learning for Object Category Recognition. In CVPR, 2007.
31. A. Frome, Y. Singer, F. Sha, and J. Malik. Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classificaiton. In ICCV, 2007.
32. P. Gehler and S. Nowozin. On Feature Combination for Multiclass Object Classification. In ICCV, 2009.
33. A. Bosch, A. Zisserman, and X. Munoz. Image Classification using Random Forests and Ferns. In ICCV, 2007.