A convolutional treelets binary feature approach to fast keypoint recognition

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

Volumn 7576 LNCS, Issue PART 5, 2012, Pages 368-382

  Wu, Chenxia ^a   Zhu, Jianke ^a   Zhang, Jiemi ^a   Chen, Chun ^a   Cai, Deng ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE NEAREST NEIGHBOR SEARCH; BINARY FEATURES; IMAGE PATCHES; LOCALITY SENSITIVE HASHING; REAL-WORLD IMAGE; SYNTHETIC DATA;

BINARY TREES; CONVOLUTION; FORESTRY; IMAGE RETRIEVAL;

COMPUTER VISION;

EID: 84867874995     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33715-4_27     Document Type: Conference Paper

References (25)

1. Lepetit, V., Fua, P.: Keypoint recognition using randomized trees. PAMI 28 (2006)
2. Ozuysal, M., Calonder, M., Lepetit, V., Fua, P.: Fast keypoint recognition using random ferns. PAMI 32 (2010)
3. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. PAMI 27 (2005)
4. Hinterstoisser, S., Lepetit, V., Benhimane, S., Fua, P., Navab, N.: Learning realtime perspective patch rectification. IJCV 91 (2011)
5. Zhu, J., Lyu,M.R.: Progressive finite newton approach to real-time nonrigid surface detection. In: Proc. Conf. Computer Vision and Pattern Recognition (2007)
6. Zhu, J., Lyu, M.R., Huang, T.S.: A fast 2d shape recovery approach by fusing features and appearance. IEEE Trans. Pattern Anal. Mach. Intell. 31, 1210-1224 (2009)
7. Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV 60 (2004)
8. Bay, H., Ess, A., Tuytelaars, T., Van Gool, L.: Speeded-up robust features (surf). CVIU 110 (2008)
9. Hua, G., Brown, M., Winder, S.: Discriminant embedding for local image descriptors. In: ICCV (2007)
10. Strecha, C., Bronstein, A., Bronstein, M., Fua, P.: Ldahash: Improved matching with smaller descriptors. PAMI 34 (2011)
11. Calonder, M., Lepetit, V., Ozuysal, M., Trzinski, T., Strecha, C., Fua, P.: BRIEF: Computing a Local Binary Descriptor Very Fast. PAMI 34 (2011)
12. Rublee, E., Rabaud, V., Konolige, K., Bradski, G.: Orb: An efficient alternative to sift or surf. In: ICCV (2011)
13. Lepetit, V., Pilet, J., Fua, P.: Point matching as a classification problem for fast and robust object pose estimation. In: CVPR (2004)
14. Goedeme, T., Tuytelaars, T., Van Gool, L.: Fast wide baseline matching for visual navigation. In: CVPR (2004)
15. Rothganger, F., Lazebnik, S., Schmid, C., Ponce, J.: 3d object modeling and recognition using local affine-invariant image descriptors and multi-view spatial constraints. IJCV 66 (2006)
16. Lee, A.B., Nadler, B., Wasserman, L.: Treelets - an adaptive multi-scale basis for sparse unordered data. Annals of Applied Statistics 2 (2008)
17. LeCun, Y., Bengio, Y.: The handbook of brain theory and neural networks (1998)
18. Gionis, A., Indyk, P., Motwani, R.: Similarity search in high dimensions via hashing. In: VLDB (1999)
19. Wu, C., Zhu, J., Cai, D., Chen, C., Bu, J.: Semi-supervised nonlinear hashing using bootstrap sequential projection learning. IEEE Transactions on Knowledge and Data Engineering 99 (2012)
20. Zhang, D., Wang, J., Cai, D., Lu, J.: Self-taught hashing for fast similarity search. In: SIGIR (2010)
21. Ambai, M., Yoshida, Y.: Card: Compact and real-time descriptors. In: ICCV (2011)
22. Calonder, M., Lepetit, V., Fua, P.: Keypoint Signatures for Fast Learning and Recognition. In: Forsyth, D., Torr, P., Zisserman, A. (eds.) ECCV 2008, Part I. LNCS, vol. 5302, pp. 58-71. Springer, Heidelberg (2008)
23. Le, Q., Zou, W., Yeung, S., Ng, A.: Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis. In: CVPR (2011)
24. Weiss, Y., Torralba, A., Fergus, R.: Spectral hashing. In: NIPS (2008)
25. Zhao, W.L., Ngo, C.W., Tan, H.K., Wu, X.: Near-duplicate keyframe identification with interest point matching and pattern learning. IEEE Transactions on Multimedia 9 (2007)