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» Learning Iterative Image Reconstruction
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ECML
2006
Springer
15 years 1 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....
ICASSP
2009
IEEE
15 years 4 months ago
Reconstruction of isometrically deformable flat surfaces in 3D from multiple camera images
This paper deals with the reconstruction of smooth, flexible, isometrically embedded flat surfaces in 3D, such as a sheet of paper or a flag waving in the wind, from a set of 2...
Ricardo Ferreira, João Xavier, João ...
ICCV
1999
IEEE
15 years 11 months ago
Roxels: Responsibility Weighted 3D Volume Reconstruction
This paper examines the problem of reconstructing a voxelized representation of 3D space from a series of images. An iterative algorithm is used to find the scene model which join...
Jeremy S. De Bonet, Paul A. Viola
TIP
2011
169views more  TIP 2011»
14 years 4 months ago
From Local Pixel Structure to Global Image Super-Resolution: A New Face Hallucination Framework
Abstract—We have developed a new face hallucination framework termed from local pixel structure to global image super-resolution (LPS-GIS). Based on the assumption that two simil...
Yu Hu, Kin-Man Lam, Guoping Qiu, Tingzhi Shen
IBPRIA
2007
Springer
15 years 3 months ago
Mosaicking Cluttered Ground Planes Based on Stereo Vision
Recent stereo cameras provide reliable 3D reconstructions. These are useful for selecting ground-plane points, register them and building mosaics of cluttered ground planes. In thi...
José António Gaspar, Miguel Realpe, ...