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» Graph-Theoretical Methods in Computer Vision
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CVPR
1999
IEEE
16 years 4 months ago
Critical Motions in Euclidean Structure from Motion
We investigate the motions that lead to ambiguous Euclidean scene reconstructions under several common calibration constraints, giving a complete description of such critical moti...
Fredrik Kahl, Bill Triggs
ICPR
2006
IEEE
16 years 3 months ago
Robust Segmentation of Hidden Layers in Video Sequences
In this paper, we propose a novel and robust method for extracting motion layers in video sequences. Taking advantage of temporal continuity, our framework considers both the visi...
Romain Dupont, Olivier Juan, Renaud Keriven
125
Voted
ICDAR
2005
IEEE
15 years 8 months ago
Data categorization for a context return applied to logical document structure recognition
The purpose of this work is to develop a pattern recognition system simulating the human vision. A transparent neural network, with context returns is used. The context returns co...
Yves Rangoni, Abdel Belaïd
CVPR
2010
IEEE
15 years 7 months ago
Visual Recognition using Mappings that Replicate Margins
We consider the problem of learning to map between two vector spaces given pairs of matching vectors, one from each space. This problem naturally arises in numerous vision problem...
Lior Wolf, Nathan Manor
ECCV
2008
Springer
16 years 4 months ago
Implementing Decision Trees and Forests on a GPU
We describe a method for implementing the evaluation and training of decision trees and forests entirely on a GPU, and show how this method can be used in the context of object rec...
Toby Sharp