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» Using Specularities for Recognition
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211
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ECCV
2000
Springer
16 years 9 months ago
Unsupervised Learning of Models for Recognition
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
Markus Weber, Max Welling, Pietro Perona
181
Voted
ICIP
2006
IEEE
16 years 9 months ago
Kalman Filtering for Pose-Invariant Face Recognition
We propose a novel algorithm for the identification of faces from image samples. The algorithm uses the Kalman filter to identify significant facial traits. Kalmanfaces are compac...
Horst Eidenberger
163
Voted
ICIP
2005
IEEE
16 years 9 months ago
Extracting micro-structural gabor features for face recognition
Robustness and discriminability are two key issues in face recognition. In this paper, we propose a new algorithm which extracts micro-structural Gabor feature to achieve good robu...
Dian Gong, Qiong Yang, Xiaoou Tang, Jianhua Lu
195
Voted
ICIP
2004
IEEE
16 years 9 months ago
Elliptic arc vectorization for 3d pie chart recognition
In this paper, we present a novel approach to vectorize elliptic arcs for 3D pie chart recognition and data extraction. As a preprocessing step, a set of straight line segments ar...
Weihua Huang, Chew Lim Tan, Wee Kheng Leow
204
Voted
ICPR
2006
IEEE
16 years 8 months ago
Learning Mixtures of Offline and Online features for Handwritten Stroke Recognition
In this paper we propose a novel scheme to combine offline and online features of handwritten strokes. The stateof-the-art methods in handwritten stroke recognition have used a pr...
C. V. Jawahar, Karteek Alahari, Satya Lahari Putre...