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» 2D and 3D Shape Based Segmentation Using Deformable Models
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CVPR
2000
IEEE
15 years 11 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu
ICCV
2007
IEEE
15 years 11 months ago
Lung Nodule Growth Analysis from 3D CT Data with a Coupled Segmentation and Registration Framework
In this paper we propose a new framework to simultaneously segment and register lung and tumor in serial CT data. Our method assumes nonrigid transformation on lung deformation an...
Yuanjie Zheng, Karl Steiner, Thomas Bauer, Jingyi ...
BMVC
2000
14 years 11 months ago
3D Model Acquisition by Tracking 2D Wireframes
This paper presents a semi-automatic wireframe acquisition system. The system uses real-time (25Hz) tracking of a user specified 2D wireframe and intermittent camera pose paramete...
M. Brown, Tom Drummond, Roberto Cipolla
3DPVT
2002
IEEE
186views Visualization» more  3DPVT 2002»
15 years 2 months ago
3D Shape Estimation Based on Density Driven Model Fitting
We introduce a generic and efficient method for 2D and 3D shape estimation via density Þelds. Our method models shape as a density map and uses the notion of density to Þt a mod...
Eugene Borovikov, Larry S. Davis
ICCV
1995
IEEE
15 years 1 months ago
3D Human Body Model Acquisition from Multiple Views
We present a novel motion-based approach for the part determination and shape estimation of a human’s body parts. The novelty of the technique is that neither a prior model of t...
Ioannis A. Kakadiaris, Dimitris N. Metaxas