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» Markov Random Field Modeling in Computer Vision
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ECCV
2004
Springer
14 years 25 days ago
Extending Interrupted Feature Point Tracking for 3-D Affine Reconstruction
Feature point tracking over a video sequence fails when the points go out of the field of view or behind other objects. In this paper, we extend such interrupted tracking by imposi...
Yasuyuki Sugaya, Ken-ichi Kanatani
CVPR
2008
IEEE
13 years 11 months ago
Off-axis aperture camera: 3D shape reconstruction and image restoration
In this paper we present a novel 3D surface and image reconstruction method based on the off-axis aperture camera. The key idea is to change the size or the 3-D location of the ap...
Qingxu Dou, Paolo Favaro
CVPR
2001
IEEE
14 years 11 months ago
Image-based Modeling and Rendering of Surfaces with Arbitrary BRDFs
A goal of image-based rendering is to synthesize as realistically as possible man made and natural objects. This paper presents a method for image-based modeling and rendering of ...
Melissa L. Koudelka, Peter N. Belhumeur, Sebastian...
ECCV
2000
Springer
14 years 11 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
CVPR
2009
IEEE
15 years 4 months ago
Learning Shape Prior Models for Object Matching
The aim of this work is to learn a shape prior model for an object class and to improve shape matching with the learned shape prior. Given images of example instances, we can le...
Cordelia Schmid, Frédéric Jurie, Tin...