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» A New Bayesian Method for Range Image Segmentation
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CVPR
2011
IEEE
13 years 5 months ago
Nonparametric Density Estimation on A Graph: Learning Framework, Fast Approximation and Application in Image Segmentation
We present a novel framework for tree-structure embedded density estimation and its fast approximation for mode seeking. The proposed method could find diverse applications in co...
Zhiding Yu, Oscar Au, Ketan Tang
ICPR
2008
IEEE
14 years 10 months ago
Quantitative abdominal fat estimation using MRI
This paper introduces a new method for automatic quantification of subcutaneous, visceral and nonvisceral internal fat from MR-images acquired using the two point Dixon technique ...
Olof Dahlqvist Leinhard, Andreas Johansson, Joakim...
ISBI
2009
IEEE
14 years 4 months ago
Robust Segmentation of Brain Structures in MRI
A novel method for the segmentation of brain structures combining registration-based and EM-based approaches is proposed. To address the issue of intensity variation within brain ...
Maria Murgasova, David Edwards, Joseph V. Hajnal, ...
ECCV
2000
Springer
14 years 11 months ago
Learning Over Multiple Temporal Scales in Image Databases
Abstract. The ability to learn from user interaction is an important asset for content-based image retrieval (CBIR) systems. Over short times scales, it enables the integration of ...
Nuno Vasconcelos, Andrew Lippman
ICCV
2003
IEEE
14 years 11 months ago
Inferring 3D Structure with a Statistical Image-Based Shape Model
We present an image-based approach to infer 3D structure parameters using a probabilistic "shape+structure" model. The 3D shape of an object class is represented by sets...
Kristen Grauman, Gregory Shakhnarovich, Trevor Dar...