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CVPR
2003
IEEE
16 years 5 months ago
Learning a discriminative classifier using shape context distances
For purpose of object recognition, we learn one discriminative classifier based on one prototype, using shape context distances as the feature vector. From multiple prototypes, th...
Hao Zhang 0003, Jitendra Malik
PAMI
2010
260views more  PAMI 2010»
15 years 1 months ago
Unsupervised Object Segmentation with a Hybrid Graph Model (HGM)
—In this work, we address the problem of performing class-specific unsupervised object segmentation, i.e., automatic segmentation without annotated training images. Object segmen...
Guangcan Liu, Zhouchen Lin, Yong Yu, Xiaoou Tang
IVC
1998
51views more  IVC 1998»
15 years 2 months ago
Improving the generalized Hough transform through imperfect grouping
This paper analyses the improvements that can be gained in the generalized Hough transform method for recognizing objects through the use of imperfect perceptual grouping techniqu...
Clark F. Olson
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Fast Rotation Center Identification Methods for Video Sequences
Rotational motion can often be seen in video. However, comparatively little research has been done to investigate rotational motions in video, whose analysis could be useful. For ...
Ka Yan Wong, Chi Lap Yip
SCALESPACE
1999
Springer
15 years 7 months ago
Fast Geodesic Active Contours
—We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in imag...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...