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» Effective scene matching with local feature representatives
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ICPR
2008
IEEE
14 years 8 months ago
CDIKP: A highly-compact local feature descriptor
A new feature descriptor is presented for object and scene recognition. The new approach, called CDIKP, uniquely combines the scale-invariant feature detection with a robust proje...
Quan Wang, Suya You, Yun-Ta Tsai
ICIP
2008
IEEE
14 years 9 months ago
Local feature extraction for video copy detection in a database
In this paper a new content-based copy identification method for video sequences is presented. It is robust to a number of image transformations and particulary robust to compress...
Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Kat...
CVPR
2004
IEEE
14 years 9 months ago
Flexible Spatial Models for Grouping Local Image Features
A key step for the effective use of local image features (i.e., highly distinctive and robust features) for recognition or image matching is the appropriate grouping of feature ma...
Gustavo Carneiro, Allan D. Jepson
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 7 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
BMVC
2002
13 years 9 months ago
Low Density Feature Point Matching for Articulated Pose Identification
We describe a general algorithm for identifying an arbitrary pose of an articulated subject with low density feature points. The algorithm aims to establish a one-to-one correspon...
Horst Holstein, Baihua Li