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» A probabilistic framework for image segmentation
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EMMCVPR
2003
Springer
14 years 1 months ago
using Prior Shape and Points in Medical Image Segmentation
Abstract. In this paper we propose a new variational framework for image segmentation that incorporates the information of expected shape and a few points on the boundary into geod...
Yunmei Chen, Weihong Guo, Feng Huang, David Cliffo...
ECCV
2010
Springer
13 years 8 months ago
Segmenting Salient Objects from Images and Videos
Abstract. In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The propo...
Esa Rahtu, Juho Kannala, Mikko Salo, Janne Heikkil...
VIP
2003
13 years 9 months ago
Using Dual Cascading Learning Frameworks for Image Indexing
To bridge the semantic gap in content-based image retrieval, detecting meaningful visual entities (e.g. faces, sky, foliage, buildings etc) in image content and classifying images...
Joo-Hwee Lim, Jesse S. Jin
ICCV
2005
IEEE
14 years 10 months ago
A Symmetric Patch-Based Correspondence Model for Occlusion Handling
Occlusion is one of the challenging problems in stereo. In this paper, we solve the problem in a segment-based style. Both images are segmented, and we propose a novel patchbased ...
Yi Deng, Qiong Yang, Xueyin Lin, Xiaoou Tang
CVPR
2011
IEEE
12 years 11 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid