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115
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ICIP
2010
IEEE
15 years 1 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
134
Voted
CVPR
2009
IEEE
16 years 10 months ago
Relighting Objects from Image Collections
We present an approach for recovering the reflectance of a static scene with known geometry from a collection of images taken under distant, unknown illumination. In con- trast ...
Christian Fuchs, Hans-Peter Seidel, Hendrik P. A. ...
165
Voted
ECCV
2004
Springer
16 years 5 months ago
Structure and Motion from Images of Smooth Textureless Objects
This paper addresses the problem of estimating the 3D shape of a smooth textureless solid from multiple images acquired under orthographic projection from unknown and unconstrained...
Yasutaka Furukawa, Amit Sethi, Jean Ponce, David J...
141
Voted
MVA
1996
100views Computer Vision» more  MVA 1996»
15 years 5 months ago
A Support System for the Visually Disabled to Recognize 3D Objects
We have been developing a support system for the visually disabled t,o actively recognize threedimensional objects or environments, an application system of 3D computer vision. Th...
Yoshihiro Kawai, Fumiaki Tomita
169
Voted
CVPR
2007
IEEE
16 years 1 months ago
Partially Occluded Object-Specific Segmentation in View-Based Recognition
We present a novel object-specific segmentation method which can be used in view-based object recognition systems. Previous object segmentation approaches generate inexact results ...
Minsu Cho (Seoul National University), Kyoung Mu L...