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CVPR
2006
IEEE
14 years 9 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
VIS
2007
IEEE
86views Visualization» more  VIS 2007»
14 years 9 months ago
Illustrative Deformation for Data Exploration
Abstract--Much of the visualization research has focused on improving the rendering quality and speed, and enhancing the perceptibility of features in the data. Recently, significa...
Carlos Correa, Deborah Silver, Min Chen
TVCG
2012
205views Hardware» more  TVCG 2012»
11 years 10 months ago
A Deformable Surface Model for Real-Time Water Drop Animation
—A water drop behaves differently from a large water body because of its strong viscosity and surface tension under the small scale. Surface tension causes the motion of a water ...
Yizhong Zhang, Huamin Wang, Shuai Wang, Yiying Ton...
CVPR
2008
IEEE
14 years 9 months ago
Conditional density learning via regression with application to deformable shape segmentation
Many vision problems can be cast as optimizing the conditional probability density function p(C|I) where I is an image and C is a vector of model parameters describing the image. ...
Jingdan Zhang, Shaohua Kevin Zhou, Dorin Comaniciu...
ISBI
2004
IEEE
14 years 8 months ago
Brain Warping with Implicit Representations
In this paper, a new framework for brain warping via landmark matching is proposed using implicit representations or the level set method. We demonstrate this powerful technique b...
Alexia Leow, Paul M. Thompson, Hillary Protas, Sun...