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» Comparison of invariant descriptors for object recognition
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ICCV
2009
IEEE
14 years 10 months ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...
AIR
1998
160views more  AIR 1998»
13 years 5 months ago
Automatic Plankton Image Recognition
Plankton form the base of the food chain in the ocean and are fundamental to marine ecosystem dynamics. The rapid mapping of plankton abundance together with taxonomic and size com...
Xiaoou Tang, W. Kenneth Stewart, He Huang, Scott M...
ICCV
2007
IEEE
14 years 7 months ago
Spherical-Homoscedastic Shapes
Shape analysis requires invariance under translation, scale and rotation. Translation and scale invariance can be realized by normalizing shape vectors with respect to their mean ...
Onur C. Hamsici, Aleix M. Martínez
SMI
2005
IEEE
106views Image Analysis» more  SMI 2005»
13 years 11 months ago
Shape Complexity Based on Mutual Information
Shape complexity has recently received attention from different fields, such as computer vision and psychology. In this paper, integral geometry and information theory tools are ...
Jaume Rigau, Miquel Feixas, Mateu Sbert
3DPVT
2006
IEEE
213views Visualization» more  3DPVT 2006»
13 years 11 months ago
Generalized RANSAC Framework for Relaxed Correspondence Problems
Finding correspondences between two (widely) separated views is essential for several computer vision tasks, such as structure and motion estimation and object recognition. In the...
Wei Zhang, Jana Kosecka