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» Comparing distributions and shapes using the kernel distance
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104
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TVCG
2008
124views more  TVCG 2008»
15 years 15 days ago
Effective visualization of complex vascular structures using a non-parametric vessel detection method
The effective visualization of vascular structures is critical for diagnosis, surgical planning as well as treatment evaluation. In recent work, we have developed an algorithm for ...
Alark Joshi, Xiaoning Qian, Donald P. Dione, Ketan...
103
Voted
CVPR
2010
IEEE
15 years 25 days ago
Illumination compensation based change detection using order consistency
We present a change detection method resistant to global and local illumination variations for use in visual surveillance scenarios. Approaches designed thus far for robustness to...
Vasu Parameswaran, Maneesh Singh, Visvanathan Rame...
118
Voted
ICIP
2004
IEEE
16 years 2 months ago
A novel pupil localization method based on gaboreye model and radial symmetry operator
The eyes are the most important facial landmarks on human face. The accuracy of face normalization, which is critical to the performance of the following face analysis steps, depe...
Peng Yang, Bo Du, Shiguang Shan, Wen Gao
CIVR
2007
Springer
192views Image Analysis» more  CIVR 2007»
15 years 6 months ago
Texture retrieval based on a non-parametric measure for multivariate distributions
In the present study, an efficient strategy for retrieving texture images from large texture databases is introduced and studied within a distributional-statistical framework. Our...
Vasileios K. Pothos, Christos Theoharatos, George ...
103
Voted
ICCV
2009
IEEE
16 years 5 months ago
TagProp: Discriminative Metric Learning in Nearest Neighbor Models for Image Auto-Annotation
Image auto-annotation is an important open problem in computer vision. For this task we propose TagProp, a discriminatively trained nearest neighbor model. Tags of test images a...
Matthieu Guillaumin, Thomas Mensink, Jakob Verbeek...