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» Object Recognition from Local Scale-Invariant Features
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113
Voted
ICCV
2007
IEEE
16 years 5 months ago
Extracting Spatiotemporal Interest Points using Global Information
Local spatiotemporal features or interest points provide compact but descriptive representations for efficient video analysis and motion recognition. Current local feature extract...
Shu-Fai Wong, Roberto Cipolla
158
Voted
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 3 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
110
Voted
CVPR
2010
IEEE
15 years 12 months ago
Asymmetric Region-to-Image Matching for Comparing Images with Generic Object Categories
We present a feature matching algorithm that leverages bottom-up segmentation. Unlike conventional image-toimage or region-to-region matching algorithms, our method finds corresp...
Jaechul Kim, Kristen Grauman
AAAI
2008
15 years 5 months ago
Dimension Amnesic Pyramid Match Kernel
With the success of local features in object recognition, feature-set representations are widely used in computer vision and related domains. Pyramid match kernel (PMK) is an effi...
Yi Liu, Xulei Wang, Hongbin Zha
117
Voted
ICCV
2007
IEEE
16 years 5 months ago
Discriminant Embedding for Local Image Descriptors
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and visual recognition. However, such descriptors are generally par...
Gang Hua, Matthew Brown, Simon A. J. Winder