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» Feature Space Trajectory Methods for Active Computer Vision
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CRV
2011
IEEE
305views Robotics» more  CRV 2011»
12 years 9 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
FGR
2011
IEEE
271views Biometrics» more  FGR 2011»
13 years 19 days ago
Active conditional models
— Matching images with large geometric and iconic changes (e.g. faces under different poses and facial expressions) is an open research problem in computer vision. There are two ...
Ying Chen, Fernando De la Torre
WACV
2005
IEEE
14 years 2 months ago
Temporal Synchronization of Video Sequences in Theory and in Practice
— In this work, we present a formalization of the video synchronization problem that exposes new variants of the problem that have been left unexplored to date. We also present a...
Anthony Whitehead, Robert Laganière, Prosen...
CVPR
2009
IEEE
15 years 4 months ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...
ICPR
2000
IEEE
14 years 1 months ago
Locale-Based Visual Object Retrieval under Illumination Change
Providing a user with an effective image search engine has been a very active research area. A search by an object model is considered to be one of the most desirable and yet difï...
Zinovi Tauber, Ze-Nian Li, Mark S. Drew