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» Markov Random Field Models in Computer Vision
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ECCV
2004
Springer
15 years 6 months 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
15 years 4 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
16 years 5 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
16 years 4 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
157
Voted
CVPR
2009
IEEE
16 years 10 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...