Orientation Covariant Aggregation of Local Descriptors with Embeddings

作者: Giorgos Tolias , Teddy Furon , Hervé Jégou

DOI: 10.1007/978-3-319-10599-4_25

关键词: Image (mathematics)Orientation (graph theory)Pure mathematicsTopologyMathematicsCovariant transformation

摘要: Image search systems based on local descriptors typically achieve orientation invariance by aligning the patches their dominant orientations. Albeit successful, this choice introduces too much because it does not guarantee that are rotated consistently.

参考文章(49)
Eduard Gabriel Băzăvan, Fuxin Li, Cristian Sminchisescu, Fourier Kernel Learning Computer Vision – ECCV 2012. pp. 459- 473 ,(2012) , 10.1007/978-3-642-33709-3_33
João Carreira, Rui Caseiro, Jorge Batista, Cristian Sminchisescu, Semantic Segmentation with Second-Order Pooling Computer Vision – ECCV 2012. pp. 430- 443 ,(2012) , 10.1007/978-3-642-33786-4_32
Andrej Mikulík, Michal Perdoch, Ondřej Chum, Jiří Matas, Learning a fine vocabulary european conference on computer vision. pp. 1- 14 ,(2010) , 10.1007/978-3-642-15558-1_1
Herve Jegou, Matthijs Douze, Cordelia Schmid, Hamming Embedding and Weak Geometric Consistency for Large Scale Image Search european conference on computer vision. ,vol. 5302, pp. 304- 317 ,(2008) , 10.1007/978-3-540-88682-2_24
Florent Perronnin, Jorge Sánchez, Thomas Mensink, Improving the fisher kernel for large-scale image classification european conference on computer vision. ,vol. 6314, pp. 143- 156 ,(2010) , 10.1007/978-3-642-15561-1_11
G. Csurka, Visual categorization with bags of keypoints european conference on computer vision. ,vol. 1, pp. 22- ,(2004)
David G. Lowe, Marius Muja, FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION international conference on computer vision theory and applications. pp. 331- 340 ,(2009)
Herbert Bay, Tinne Tuytelaars, Luc Van Gool, SURF: speeded up robust features european conference on computer vision. ,vol. 1, pp. 404- 417 ,(2006) , 10.1007/11744023_32
Hervé Jégou, Ondřej Chum, Negative Evidences and Co-occurences in Image Retrieval: The Benefit of PCA and Whitening Computer Vision – ECCV 2012. pp. 774- 787 ,(2012) , 10.1007/978-3-642-33709-3_55
Michal Perd'och, Ondrej Chum, Jiri Matas, Efficient representation of local geometry for large scale object retrieval computer vision and pattern recognition. pp. 9- 16 ,(2009) , 10.1109/CVPR.2009.5206529