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CVPR
2008
IEEE
15 years 11 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...
ECCV
2008
Springer
15 years 11 months ago
Multi-stage Contour Based Detection of Deformable Objects
We present an efficient multi stage approach to detection of deformable objects in real, cluttered images given a single or few hand drawn examples as models. The method handles de...
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
ICCV
2011
IEEE
13 years 9 months ago
An adaptive coupled-layer visual model for robust visual tracking
This paper addresses the problem of tracking objects which undergo rapid and significant appearance changes. We propose a novel coupled-layer visual model that combines the targe...
Luka Cehovin, Matej Kristan, Ales Leonardis
CVBIA
2005
Springer
15 years 3 months ago
Real-Time Simulation of Deformable Soft Tissue Based on Mass-Spring and Medial Representation
In this paper, we present a novel deformable model for soft tissue simulation in a real-time manner. The innovative model consists of two submodels: the surface one and the interna...
Shaoting Zhang, Lixu Gu, Pengfei Huang, Jianfeng X...
MICCAI
2000
Springer
15 years 1 months ago
Adaptive-Focus Statistical Shape Model for Segmentation of 3D MR Structures
This paper presents a deformable model for automatically segmenting objects from volumetric MR images and obtaining point correspondences, using geometric and statistical informati...
Dinggang Shen, Christos Davatzikos