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» Image Categorization Using Local Probabilistic Descriptors
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DAGM
2001
Springer
14 years 6 days ago
A Probabilistic Approach to Simultaneous Segmentation, Object Recognition, 3D Localization, and Tracking Using Stereo
Vision systems for service robotics applications have to cope with varying environmental conditions, partial occlusions, complex backgrounds and a large number of distractors (clut...
Georg von Wichert
ECCV
2010
Springer
13 years 11 months ago
Binary coherent edge descriptors
Patch descriptors are used for a variety of tasks ranging from finding corresponding points across images, to describing object category parts. In this paper, we propose an image ...
IROS
2009
IEEE
196views Robotics» more  IROS 2009»
14 years 2 months ago
Scene recognition with omnidirectional vision for topological map using lightweight adaptive descriptors
Abstract— Mobile robots rely on their ability of scene recognition to build a topological map of the environment and perform location-related tasks. In this paper, we describe a ...
Ming Liu, Davide Scaramuzza, Cédric Pradali...
CVPR
2006
IEEE
14 years 9 months ago
Using Dependent Regions for Object Categorization in a Generative Framework
"Bag of words" models have enjoyed much attention and achieved good performances in recent studies of object categorization. In most of these works, local patches are mo...
Gang Wang, Ye Zhang, Fei-Fei Li 0002
CVPR
2008
IEEE
14 years 2 months ago
A robust descriptor based on Weber's Law
Inspired by Weber's Law, this paper proposes a simple, yet very powerful and robust local descriptor, Weber Local Descriptor (WLD). It is based on the fact that human percept...
Jie Chen, Shiguang Shan, Guoying Zhao, Xilin Chen,...