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» Measuring Intrinsic Volumes in Digital 3d Images
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CVPR
2009
IEEE
15 years 2 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...
MTA
2008
134views more  MTA 2008»
13 years 7 months ago
A survey of content based 3D shape retrieval methods
Recent developments in techniques for modeling, digitizing and visualizing 3D shapes has led to an explosion in the number of available 3D models on the Internet and in domain-spe...
Johan W. H. Tangelder, Remco C. Veltkamp
ICIP
2008
IEEE
14 years 1 months ago
Compressed sensing for multi-view tracking and 3-D voxel reconstruction
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
Dikpal Reddy, Aswin C. Sankaranarayanan, Volkan Ce...
MICCAI
2008
Springer
14 years 8 months ago
Level Set Based Surface Capturing in 3D Medical Images
Brain aneurysm rupture has been reported to be directly related to the size of aneurysms. The current method used to determine aneurysm size is to manually measure the width of th...
Bin Dong, Aichi Chien, Yu Mao, Jian Ye, Stanle...
IJCV
2002
256views more  IJCV 2002»
13 years 7 months ago
Fast Stereo Matching Using Rectangular Subregioning and 3D Maximum-Surface Techniques
This paper presents a fast and reliable stereo matching algorithm which produces a dense disparity map by using fast cross correlation, rectangular subregioning (RSR) and 3D maxim...
Changming Sun