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» OmniSIFT: Scale invariant features in omnidirectional images
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CVPR
2006
IEEE
16 years 8 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
IJPRAI
2002
97views more  IJPRAI 2002»
15 years 5 months ago
Shape Description and Invariant Recognition Employing Connectionist Approach
This paper presents a new approach for shape description and invariant recognition by geometric-normalization implemented by neural networks. The neural system consists of a shape...
Jezekiel Ben-Arie, Zhiqian Wang
IWBRS
2005
Springer
139views Biometrics» more  IWBRS 2005»
15 years 11 months ago
Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition
Abstract. Gait is a biometric feature and gait recognition has become a challenging problem in computer vision. New wavelet velocity moments have been developed to describe and rec...
Guoying Zhao, Li Cui, Hua Li
SAC
2010
ACM
16 years 28 days ago
Seal object detection in document images using GHT of local component shapes
Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal ...
Partha Pratim Roy, Umapada Pal, Josep Lladó...
PAMI
2012
13 years 8 months ago
LDAHash: Improved Matching with Smaller Descriptors
—SIFT-like local feature descriptors are ubiquitously employed in such computer vision applications as content-based retrieval, video analysis, copy detection, object recognition...
Christoph Strecha, Alexander A. Bronstein, Michael...