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» Object Recognition from Local Scale-Invariant Features
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MIR
2004
ACM
236views Multimedia» more  MIR 2004»
15 years 9 months ago
Boosting contextual information in content-based image retrieval
We present a new framework for characterizing and retrieving objects in cluttered scenes. This CBIR system is based on a new representation describing every object taking into acc...
Jaume Amores, Nicu Sebe, Petia Radeva, Theo Gevers...
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 9 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
152
Voted
ENC
2004
IEEE
15 years 7 months ago
Feature Selection for Visual Gesture Recognition Using Hidden Markov Models
Hidden Markov models have become the preferred technique for visual recognition of human gestures. However, the recognition rate depends on the set of visual features used, and al...
José Antonio Montero, Luis Enrique Sucar
117
Voted
ICASSP
2010
IEEE
15 years 3 months ago
Privacy and security of features extracted from minutiae aggregates
This paper describes our recent analysis on the security and privacy of biometric feature vectors obtained from fingerprint minutiae. A large number of contiguous regions (cuboid...
Abhishek Nagar, Shantanu Rane, Anthony Vetro
178
Voted
CVPR
2012
IEEE
13 years 5 months ago
Discovering localized attributes for fine-grained recognition
Attributes are visual concepts that can be detected by machines, understood by humans, and shared across categories. They are particularly useful for fine-grained domains where c...
Kun Duan, Devi Parikh, David J. Crandall, Kristen ...