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CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 4 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox
ICPR
2008
IEEE
15 years 11 months ago
Multiple kernel learning from sets of partially matching image features
Abstract: Kernel classifiers based on Support Vector Machines (SVM) have achieved state-ofthe-art results in several visual classification tasks, however, recent publications and d...
Guo ShengYang, Min Tan, Si-Yao Fu, Zeng-Guang Hou,...
WACV
2008
IEEE
15 years 4 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
ICRA
2006
IEEE
198views Robotics» more  ICRA 2006»
15 years 4 months ago
3D Navigation based on a Visual Memory
— This paper addresses the design of a control law for vision-based robot navigation. The method proposed is based on a topological representation of the environment. Within this...
Anthony Remazeilles, François Chaumette, Pa...
IJRR
2007
218views more  IJRR 2007»
14 years 10 months ago
Real-time Hybrid Tracking using Edge and Texture Information
This paper proposes a real-time, robust and effective tracking framework for visual servoing applications. The algorithm is based on the fusion of visual cues and on the estimatio...
Muriel Pressigout, Éric Marchand