Learning an Efficient and Robust Graph Matching Procedure for Specific Object Recognition
暂无分享,去创建一个
[1] Robert C. Bolles,et al. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography , 1981, CACM.
[2] Shimon Ullman,et al. Feature hierarchies for object classification , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[3] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[4] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[5] Cordelia Schmid,et al. 3D Object Modeling and Recognition Using Local Affine-Invariant Image Descriptors and Multi-View Spatial Constraints , 2006, International Journal of Computer Vision.
[6] Michael Isard,et al. Object retrieval with large vocabularies and fast spatial matching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Jiri Matas,et al. Locally Optimized RANSAC , 2003, DAGM-Symposium.
[8] Luc Van Gool,et al. Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views , 2006, International Journal of Computer Vision.
[9] Horst Bunke,et al. A New Algorithm for Error-Tolerant Subgraph Isomorphism Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..