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105
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ECML
2006
Springer
15 years 4 months ago
Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks
Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Sébastien Jodogne, Cyril Briquet, Justus H....
75
Voted
ISVC
2009
Springer
15 years 7 months ago
Deconvolving Active Contours for Fluorescence Microscopy Images
Abstract. We extend active contours to constrained iterative deconvolution by replacing the external energy function with a model-based likelihood. This enables sub-pixel estimatio...
Jo A. Helmuth, Ivo F. Sbalzarini
114
Voted
COMPGEOM
2009
ACM
15 years 7 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec
130
Voted
ACCV
2010
Springer
14 years 7 months ago
Temporal Super Resolution from a Single Quasi-periodic Image Sequence Based on Phase Registration
This paper describes a method for temporal super resolution from a single quasi-periodic image sequence. A so-called reconstructionbased method is applied to construct a one period...
Yasushi Makihara, Atsushi Mori, Yasushi Yagi
112
Voted
EMMCVPR
2003
Springer
15 years 5 months ago
Generalized Multi-camera Scene Reconstruction Using Graph Cuts
Reconstructing a 3-D scene from more than one camera is a classical problem in computer vision. One of the major sources of difficulty is the fact that not all scene elements are v...
Vladimir Kolmogorov, Ramin Zabih, Steven J. Gortle...