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» Learning 3-D object orientation from images
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CVPR
2009
IEEE
15 years 3 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...
ECCV
2008
Springer
14 years 10 months ago
View Point Tracking of Rigid Objects Based on Shape Sub-manifolds
We study the task to infer and to track the viewpoint onto a 3D rigid object by observing its image contours in a sequence of images. To this end, we consider the manifold of invar...
Christian Gosch, Ketut Fundana, Anders Heyden, Chr...
IPMI
2009
Springer
14 years 9 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu
CVPR
2006
IEEE
14 years 10 months ago
A Dynamic Bayesian Network Model for Autonomous 3D Reconstruction from a Single Indoor Image
When we look at a picture, our prior knowledge about the world allows us to resolve some of the ambiguities that are inherent to monocular vision, and thereby infer 3d information...
Erick Delage, Honglak Lee, Andrew Y. Ng
ICPR
2008
IEEE
14 years 9 months ago
3D human posture estimation using the HOG features from monocular image
In this paper, we propose a method to estimate the 3D human posture from monocular image without using the markers. A 3D human body is expressed by a multi-joint model, and a set ...
Katsunori Onishi, Tetsuya Takiguchi, Yasuo Ariki