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» OmniSIFT: Scale invariant features in omnidirectional images
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CVPR
2009
IEEE
15 years 2 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
TCSV
2008
291views more  TCSV 2008»
13 years 7 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
ICIAR
2009
Springer
13 years 5 months ago
Score Level Fusion of Ear and Face Local 3D Features for Fast and Expression-Invariant Human Recognition
Abstract. Increasing risks of spoof attacks and other common problems of unimodal biometric systems such as intra-class variations, nonuniversality and noisy data necessitate the u...
Syed M. S. Islam, Mohammed Bennamoun, Ajmal S. Mia...
CVPR
2010
IEEE
13 years 8 months ago
Region moments: Fast invariant descriptors for detecting small image structures
This paper presents region moments, a class of appearance descriptors based on image moments applied to a pool of image features. A careful design of the moments and the image fea...
Gianfranco Doretto, Yi Yao
TIP
2011
255views more  TIP 2011»
13 years 2 months ago
Dictionary Learning for Stereo Image Representation
—One of the major challenges in multi-view imaging is the definition of a representation that reveals the intrinsic geometry of the visual information. Sparse image representati...
Ivana Tosic, Pascal Frossard