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» Explore multiple clues for urban images matching
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ECCV
2008
Springer
14 years 9 months ago
Co-Recognition of Image Pairs by Data-Driven Monte Carlo Image Exploration
We introduce a new concept of co-recognition for object-level image matching between an arbitrary image pair. Our method augments putative local regionmatches to reliable object-...
Minsu Cho (Seoul National University), Young Min S...
ICPR
2008
IEEE
14 years 6 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,...
ICCV
2009
IEEE
1234views Computer Vision» more  ICCV 2009»
14 years 9 months ago
Human Pose Estimation Using Consistent Max-Covering
We propose a novel consistent max-covering scheme for human pose estimation. Consistent max-covering formulates pose estimation as the covering of body part polygons on an objec...
Hao Jiang
ICTAI
2007
IEEE
13 years 11 months ago
Ontology-Based Object Recognition for Remote Sensing Image Interpretation
The multiplication of Very High Resolution (spatial or spectral) remote sensing images appears to be an opportunity to identify objects in urban and periurban areas. The classifi...
Nicolas Durand, Sébastien Derivaux, Germain...
ICRA
2002
IEEE
146views Robotics» more  ICRA 2002»
13 years 9 months ago
Topological Mobile Robot Localization using Fast Vision Techniques
In this paper we present a system for topologically localizing a mobile robot using color histogram matching of omnidirectional images. The system is intended for use as a navigat...
Paul Blaer, Peter K. Allen