Balanced feature matching in probabilistic framework and its application on object localisation
暂无分享,去创建一个
[1] Vladimir Kolmogorov,et al. Feature Correspondence Via Graph Matching: Models and Global Optimization , 2008, ECCV.
[2] Hoi-Jun Yoo,et al. A 345 mW Heterogeneous Many-Core Processor With an Intelligent Inference Engine for Robust Object Recognition , 2011, IEEE J. Solid State Circuits.
[3] Matthijs C. Dorst. Distinctive Image Features from Scale-Invariant Keypoints , 2011 .
[4] Amnon Shashua,et al. Probabilistic graph and hypergraph matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[5] Jean-Francois Mangin,et al. Multisubject Non-rigid Registration of Brain MRI Using Intensity and Geometric Features , 2001, MICCAI.
[6] Qing Wang,et al. Partially occluded object recognition , 2011, Int. J. Comput. Appl. Technol..
[7] Roberto Marcondes Cesar Junior,et al. Sparse Representations for Efficient Shape Matching , 2010, 2010 23rd SIBGRAPI Conference on Graphics, Patterns and Images.
[8] Sujoy Roy,et al. Region-based image registration for mosaicking , 2010, Int. J. Comput. Appl. Technol..
[9] Hong Wei Gao,et al. Image Mosaics Algorithm Based on PSO and SIFT , 2011 .
[10] Wesley E. Snyder,et al. Global registration of overlapping images using accumulative image features , 2010, Pattern Recognit. Lett..
[11] Zhang Guimin,et al. An automatic method for image mosaic based on feature matching , 2011, 2011 International Conference on Electric Information and Control Engineering.
[12] Christos Faloutsos,et al. Random walk with restart: fast solutions and applications , 2008, Knowledge and Information Systems.
[13] Jianbo Shi,et al. Balanced Graph Matching , 2006, NIPS.
[14] Guillermo Sapiro,et al. A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching , 2010, International Journal of Computer Vision.
[15] Sang Uk Lee,et al. A Probabilistic Model for Correspondence Problems Using Random Walks with Restart , 2009, ACCV.
[16] Xiaojie Guo,et al. Monomodal registration with adaptive parameter computing , 2011, Int. J. Comput. Appl. Technol..
[17] M. Fatih Demirci,et al. Efficient many-to-many feature matching under the l1 norm , 2011, Comput. Vis. Image Underst..
[18] Richard Sinkhorn,et al. Concerning nonnegative matrices and doubly stochastic matrices , 1967 .
[19] Esa Rahtu,et al. Object recognition and segmentation by non-rigid quasi-dense matching , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.