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» Shape Priors using Manifold Learning Techniques
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ISBI
2004
IEEE
16 years 2 months ago
Grid-Enabled Automatic Construction of A Two-Chamber Cardiac PDM from a Large Database of Dynamic 3D Shapes
Point Distribution Modelling (PDM) is an efficient generative technique that can be used to incorporate statistical shape priors into image analysis methods like Active Shape Mode...
Alejandro F. Frangi, Loic Boisrobert, Marcos Lauce...
PR
2006
147views more  PR 2006»
15 years 1 months ago
Robust locally linear embedding
In the past few years, some nonlinear dimensionality reduction (NLDR) or nonlinear manifold learning methods have aroused a great deal of interest in the machine learning communit...
Hong Chang, Dit-Yan Yeung
CVPR
2011
IEEE
14 years 10 months ago
High-Frequency Shape and Albedo from Shading using Natural Image Statistics
We relax the long-held and problematic assumption in shape-from-shading (SFS) that albedo must be uniform or known, and address the problem of “shape and albedo from shading” ...
Jonathan Barron, Jitendra Malik
IJCV
2007
189views more  IJCV 2007»
15 years 1 months ago
Prior-based Segmentation and Shape Registration in the Presence of Perspective Distortion
Challenging object detection and segmentation tasks can be facilitated by the availability of a reference object. However, accounting for possible transformations between the diff...
Tammy Riklin-Raviv, Nahum Kiryati, Nir A. Sochen
CVPR
2007
IEEE
16 years 3 months ago
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods
Kernel methods have been widely studied in the field of pattern recognition. These methods implicitly map, "the kernel trick," the data into a space which is more approp...
Pablo Arias, Gregory Randall, Guillermo Sapiro