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» Two Dimensional Projective Point Matching
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ICASSP
2010
IEEE
13 years 7 months ago
Evaluation of random-projection-based feature combination on speech recognition
Random projection has been suggested as a means of dimensionality reduction, where the original data are projected onto a subspace using a random matrix. It represents a computati...
Tetsuya Takiguchi, Jeff Bilmes, Mariko Yoshii, Yas...
CIVR
2005
Springer
169views Image Analysis» more  CIVR 2005»
14 years 1 months ago
An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams
Abstract. We introduce a view–point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on...
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo
CORR
2010
Springer
124views Education» more  CORR 2010»
13 years 7 months ago
Feature Level Fusion of Face and Fingerprint Biometrics
The aim of this paper is to study the fusion at feature extraction level for face and fingerprint biometrics. The proposed approach is based on the fusion of the two traits by extr...
Ajita Rattani, Dakshina Ranjan Kisku, Manuele Bice...
ICCV
1999
IEEE
14 years 9 months ago
Projective Alignment with Regions
?We have recently proposed an approach to recognition that uses regions to determine the pose of objects while allowing for partial occlusion of the regions. Regions introduce an a...
Ronen Basri, David W. Jacobs
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...