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» Object Detection Using a Cascade of 3D Models
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ICCV
2007
IEEE
15 years 11 months ago
Finding a Closed Boundary by Growing Minimal Paths from a Single Point on 2D or 3D Images
In this paper, we present a new method for segmenting closed contours and surfaces. Our work builds on a variant of the Fast Marching algorithm. First, an initial point on the des...
Fethallah Benmansour, Stephane Bonneau, Laurent D....
70
Voted
ICIP
1998
IEEE
15 years 11 months ago
3D Motion Estimation using Expansion Matching and KL based Canonical Images
This paper describes a novel approach to 3D motion estimation of planar objects based on eigennormalization, Expansion Matching (EXM) and a scaled orthographic projection model. O...
Zhiqian Wang, Jezekiel Ben-Arie
ACCV
2010
Springer
14 years 4 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
2009
IEEE
16 years 4 months ago
Constrained Marginal Space Learning for Efficient 3D Anatomical Structure Detection in Medical Images
Recently, we proposed marginal space learning (MSL) as a generic approach for automatic detection of 3D anatom- ical structures in many medical imaging modalities. To accurately...
Yefeng Zheng, Bogdan Georgescu, Haibin Ling, Shaoh...
101
Voted
CVPR
2011
IEEE
14 years 1 months ago
Using Specular Highlights as Pose Invariant Features for 2D-3D Pose Estimation
We address the problem of 2D-3D pose estimation in difficult viewing conditions, such as low illumination, cluttered background, and large highlights and shadows that appear on t...
Aaron Netz, Margarita Osadchy