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ECCV
2004
Springer
13 years 10 months ago
Robust Encoding of Local Ordinal Measures: A General Framework of Iris Recognition
Abstract. The randomness of iris pattern makes it one of the most reliable biometric traits. On the other hand, the complex iris image structure and various sources of intra-class ...
Zhenan Sun, Tieniu Tan, Yunhong Wang
CVPR
2008
IEEE
14 years 6 months ago
Boosting ordinal features for accurate and fast iris recognition
In this paper, we present a novel iris recognition method based on learned ordinal features.Firstly, taking full advantages of the properties of iris textures, a new iris represen...
Zhaofeng He, Zhenan Sun, Tieniu Tan, Xianchao Qiu,...
NIPS
2001
13 years 6 months ago
The Fidelity of Local Ordinal Encoding
A key question in neuroscience is how to encode sensory stimuli such as images and sounds. Motivated by studies of response properties of neurons in the early cortical areas, we p...
Javid Sadr, Sayan Mukherjee, K. Thoresz, Pawan Sin...
MM
2010
ACM
462views Multimedia» more  MM 2010»
13 years 5 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...
CVPR
2001
IEEE
14 years 6 months ago
Understanding Popout through Repulsion
Perceptual popout is defined by both feature similarity and local feature contrast. We identify these two measures with attraction and repulsion, and unify the dual processes of a...
Stella X. Yu, Jianbo Shi