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» Efficient Multiple Model Recognition in Cluttered 3-D Scenes
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CVPR
2010
IEEE
14 years 3 months ago
Automatic Discovery of Meaningful Object Parts with Latent CRFs
Object recognition is challenging due to high intra-class variability caused, e.g., by articulation, viewpoint changes, and partial occlusion. Successful methods need to strike a...
Paul Schnitzspan, Stefan Roth, Bernt Schiele
AROBOTS
2005
114views more  AROBOTS 2005»
13 years 7 months ago
Visually Guided Cooperative Robot Actions Based on Information Quality
In field environments it is not usually possible to provide robots in advance with valid geometric models of its environment and task element locations. The robot or robot teams ne...
Vivek A. Sujan, Steven Dubowsky
PAMI
2008
275views more  PAMI 2008»
13 years 7 months ago
Coupled Object Detection and Tracking from Static Cameras and Moving Vehicles
Abstract-- We present a novel approach for multi-object tracking which considers object detection and spacetime trajectory estimation as a coupled optimization problem. Our approac...
Bastian Leibe, Konrad Schindler, Nico Cornelis, Lu...
ICCV
2009
IEEE
15 years 18 days ago
Heterogeneous Feature Machines for Visual Recognition
With the recent efforts made by computer vision researchers, more and more types of features have been designed to describe various aspects of visual characteristics. Modeling s...
Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. H...
ICCV
2009
IEEE
1821views Computer Vision» more  ICCV 2009»
15 years 12 days ago
Feature Correspondence and Deformable Object Matching via Agglomerative Correspondence Clustering
We present an efficient method for feature correspondence and object-based image matching, which exploits both photometric similarity and pairwise geometric consistency from local ...
Minsu Cho (Seoul National University), Jungmin Lee...