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» Novel image feature alphabets for object recognition
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ICIAR
2005
Springer
15 years 7 months ago
A Novel Tracking Framework Using Kalman Filtering and Elastic Matching
A novel region-based multiple object tracking framework based on Kalman filtering and elastic matching is proposed. The proposed Kalman filtering-elastic matching model is genera...
Xingzhi Luo, Suchendra M. Bhandarkar
ICIP
2006
IEEE
16 years 3 months ago
Facial Expression Recognition using Advanced Local Binary Patterns, Tsallis Entropies and Global Appearance Features
This paper proposes a novel facial expression recognition approach based on two sets of features extracted from the face images: texture features and global appearance features. T...
Shu Liao, Wei Fan, Albert C. S. Chung, Dit-Yan Yeu...
CVPR
2005
IEEE
16 years 3 months ago
A Sparse Object Category Model for Efficient Learning and Exhaustive Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a semisupervised manner: the model is learnt from example ...
Robert Fergus, Pietro Perona, Andrew Zisserman
ICPR
2004
IEEE
16 years 3 months ago
Combining Null Space-based Gabor Features for Face Recognition
We propose a novel face recognition strategy combining various discriminating Gabor features in multi-scales and multi-orientations. A bank of well-chosen Gabor filters is applied...
Tieniu Tan, Wei Fan, Wei Liu, Yunhong Wang
ICIP
2005
IEEE
16 years 3 months ago
Coarse-level object recognition using interlevel products of complex wavelets
This paper introduces the Interlevel Product (ILP) which is a transform based upon the Dual-Tree Complex Wavelet. Coefficients of the ILP have complex values whose magnitudes indi...
Ryan Anderson, Nick G. Kingsbury, Julien Fauqueur