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» Surface Visibility Probabilities in 3D Cluttered Scenes
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ECCV
2008
Springer
14 years 6 months ago
Surface Visibility Probabilities in 3D Cluttered Scenes
Many methods for 3D reconstruction in computer vision rely on probability models, for example, Bayesian reasoning. Here we introduce a probability model of surface visibilities in ...
Michael S. Langer
ACCV
2010
Springer
12 years 11 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
CVPR
2001
IEEE
14 years 6 months ago
A Probabilistic Framework for Surface Reconstruction from Multiple Images
This paper presents a novel probabilistic framework for 3D surface reconstruction from multiple stereo images. The method works on a discrete voxelized representation of the scene...
Motilal Agrawal, Larry S. Davis
CRV
2007
IEEE
145views Robotics» more  CRV 2007»
13 years 11 months ago
Can Lucas-Kanade be used to estimate motion parallax in 3D cluttered scenes?
When an observer moves in a 3D static scene, the motion field depends on the depth of the visible objects and on the observer’s instantaneous translation and rotation. By compu...
Vincent Chapdelaine-Couture, Michael S. Langer
WACV
2005
IEEE
13 years 10 months ago
3D Recognition and Segmentation of Objects in Cluttered Scenes
In this paper we present a novel view point independent range image segmentation and recognition approach. We generate a library of 3D models off-line and represent each model wit...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens