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» Training Deformable Models for Localization
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ACL
2008
13 years 9 months ago
Analyzing the Errors of Unsupervised Learning
We identify four types of errors that unsupervised induction systems make and study each one in turn. Our contributions include (1) using a meta-model to analyze the incorrect bia...
Percy Liang, Dan Klein
CAD
2008
Springer
13 years 8 months ago
Structure-oriented contour representation and matching for engineering shapes
Conventional shape matching for engineering models primarily considers rigid shape similarity. They do not seek global shape similarity while considering large local deformations....
Suyu Hou, Karthik Ramani
MICCAI
2003
Springer
14 years 9 months ago
A Biomechanical Model of the Liver for Reality-Based Haptic Feedback
: Biomechanical model of soft tissue for remote probing based on observed experimental data is critical for developing a reality-based model for minimally invasive surgical trainin...
Tie Hu, Jaydev P. Desai
ICCV
2009
IEEE
15 years 1 months ago
Subspace Constrained Mean-Shift
Deformable model fitting has been actively pursued in the computer vision community for over a decade. As a result, numerous approaches have been proposed with varying degrees of...
Jason M. Saragih, Simon Lucey, Jeffrey F. Cohn
MICCAI
2004
Springer
14 years 9 months ago
Shape Particle Filtering for Image Segmentation
Abstract. Deformable template models are valuable tools in medical image segmentation. Current methods elegantly incorporate global shape and appearance, but can not cope with loca...
Marleen de Bruijne, Mads Nielsen