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» Learning Low-Level Vision
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CVPR
2008
IEEE
14 years 11 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,...
ICCV
2007
IEEE
14 years 11 months ago
Unsupervised Joint Alignment of Complex Images
Many recognition algorithms depend on careful positioning of an object into a canonical pose, so the position of features relative to a fixed coordinate system can be examined. Cu...
Gary B. Huang, Vidit Jain, Erik G. Learned-Miller
ICCV
2005
IEEE
14 years 11 months ago
The Pyramid Match Kernel: Discriminative Classification with Sets of Image Features
Discriminative learning is challenging when examples are sets of features, and the sets vary in cardinality and lack any sort of meaningful ordering. Kernel-based classification m...
Kristen Grauman, Trevor Darrell
ECCV
2008
Springer
14 years 11 months ago
VideoCut: Removing Irrelevant Frames by Discovering the Object of Interest
We propose a novel method for removing irrelevant frames from a video given user-provided frame-level labeling for a very small number of frames. We first hypothesize a number of c...
David Liu, Gang Hua, Tsuhan Chen
ECCV
2008
Springer
14 years 11 months ago
Robust Visual Tracking Based on an Effective Appearance Model
Most existing appearance models for visual tracking usually construct a pixel-based representation of object appearance so that they are incapable of fully capturing both global an...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang