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CVPR
2006
IEEE
14 years 10 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
VMV
2001
147views Visualization» more  VMV 2001»
13 years 10 months ago
Model-based 3-D Shape and Motion Estimation Using Sliding Textures
Given an accurate 3-D shape model of a scene, the motion parameters of a moving camera can be recovered with high accuracy using model-based motion estimation techniques. Shape er...
Eckehard G. Steinbach, Peter Eisert, Bernd Girod
ISBI
2007
IEEE
14 years 3 months ago
Validation of Optical-Flow for Quantification of Myocardial Deformations on Simulated Rt3d Ultrasound
Quantitative analysis of cardiac motion is of great clinical interest in assessing ventricular function. Real-time 3-D (RT3D) ultrasound transducers provide valuable fourdimension...
Qi Duan, Elsa D. Angelini, Shunichi Homma, Andrew ...
ICIP
2003
IEEE
14 years 10 months ago
Unsupervised statistical sketching for non-photorealistic rendering models
This paper investigates the use of the Bayesian inference for devising an unsupervised sketch rendering procedure. As likelihood model of this inference, we exploit the recent sta...
Max Mignotte
ICCV
2005
IEEE
14 years 2 months ago
Robust Point Matching for Two-Dimensional Nonrigid Shapes
Recently, nonrigid shape matching has received more and more attention. For nonrigid shapes, most neighboring points cannot move independently under deformation due to physical co...
Yefeng Zheng, David S. Doermann