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» Local shape features for object recognition
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DAGM
2006
Springer
15 years 1 months ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer
CVPR
2007
IEEE
15 years 11 months ago
3D LayoutCRF for Multi-View Object Class Recognition and Segmentation
We introduce an approach to accurately detect and segment partially occluded objects in various viewpoints and scales. Our main contribution is a novel framework for combining obj...
Derek Hoiem, Carsten Rother, John M. Winn
PAMI
2011
14 years 17 days ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
ACIVS
2008
Springer
15 years 4 months ago
Foliage Recognition Based on Local Edge Information
In many real-world object recognition applications, texture plays a very important role. Much research has gone into texture-based segmentation methods, which focus on finding the...
David Van Hamme, Peter Veelaert, Wilfried Philips,...
CVPR
2005
IEEE
15 years 11 months ago
Detecting, Localizing and Recovering Kinematics of Textured Animals
We develop and demonstrate an object recognition system capable of accurately detecting, localizing, and recovering the kinematic configuration of textured animals in real images....
Deva Ramanan, David A. Forsyth, Kobus Barnard