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» A Fast Optimization Method for Level Set Segmentation
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ISBI
2008
IEEE
16 years 5 months ago
Landmark selection for shape model construction via equalization of variance
Model-based segmentation approaches, such as those employing Active Shape Models (ASMs), have proved to be useful for medical image segmentation and understanding. To build the mo...
Sylvia Rueda, Jayaram K. Udupa, Li Bai
PAMI
2007
159views more  PAMI 2007»
15 years 4 months ago
Soft Color Segmentation and Its Applications
—We propose an automatic approach to soft color segmentation, which produces soft color segments with an appropriate amount of overlapping and transparency essential to synthesiz...
Yu-Wing Tai, Jiaya Jia, Chi-Keung Tang
CVPR
2010
IEEE
16 years 1 months ago
3D Shape Correspondence by Isometry-Driven Greedy Optimization
We present an automatic method that establishes 3D correspondence between isometric shapes. Our goal is to find an optimal correspondence between two given (nearly) isometric sha...
Yusuf Sahillioglu, Yucel Yemez
167
Voted
TON
1998
186views more  TON 1998»
15 years 4 months ago
Virtual path control for ATM networks with call level quality of service guarantees
— The configuration of virtual path (VP) connection services is expected to play an important role in the operation of large-scale asynchronous transfer mode (ATM) networks. A m...
Nikolaos Anerousis, Aurel A. Lazar
138
Voted
CVPR
2008
IEEE
15 years 11 months ago
Fast kernel learning for spatial pyramid matching
Spatial pyramid matching (SPM) is a simple yet effective approach to compute similarity between images. Similarity kernels at different regions and scales are usually fused by som...
Junfeng He, Shih-Fu Chang, Lexing Xie