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» Geodesic Methods in Computer Vision and Graphics
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ARCS
2005
Springer
15 years 10 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
CVPR
2008
IEEE
16 years 6 months ago
Globally optimal shape-based tracking in real-time
Most algorithms for real-time tracking of deformable shapes provide sub-optimal solutions for a suitable energy minimization task: The search space is typically considered too lar...
Thomas Schoenemann, Daniel Cremers
ECCV
2008
Springer
16 years 6 months ago
Learning Two-View Stereo Matching
We propose a graph-based semi-supervised symmetric matching framework that performs dense matching between two uncalibrated wide-baseline images by exploiting the results of sparse...
Jianxiong Xiao, Jingni Chen, Dit-Yan Yeung, Long Q...
ICPR
2010
IEEE
15 years 2 months ago
A Simulation Study on the Generative Neural Ensemble Decoding Algorithms
Brain-computer interfaces rely on accurate decoding of cortical activity to understand intended action. Algorithms for neural decoding can be broadly categorized into two groups: d...
Sung-Phil Kim, Min-Ki Kim, Gwi-Tae Park
APGV
2008
ACM
15 years 6 months ago
Perception-motivated interpolation of image sequences
We present a method for image interpolation which is able to create high-quality, perceptually convincing transitions between recorded images. By implementing concepts derived fro...
Timo Stich, Christian Linz, Christian Wallraven, D...