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» 2D and 3D Shape Based Segmentation Using Deformable Models
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ECCV
2000
Springer
15 years 11 months ago
A Physically-Based Statistical Deformable Model for Brain Image Analysis
A probabilistic deformable model for the representation of brain structures is described. The statistically learned deformable model represents the relative location of head (skull...
Christophoros Nikou, Fabrice Heitz, Jean-Paul Arms...
MICCAI
2004
Springer
15 years 10 months ago
Simultaneous Topology and Stiffness Identification for Mass-Spring Models Based on FEM Reference Deformations
Mass-spring systems are of special interest for soft tissue modeling in surgical simulation due to their ease of implementation and real-time behavior. However, the parameter ident...
Barbara Solenthaler, Gábor Székely, ...
ICMCS
2009
IEEE
231views Multimedia» more  ICMCS 2009»
14 years 7 months ago
Dynamic face appearance modeling and sight direction estimation based on local region tracking and scale-space topo-represention
Dynamic modeling of facial appearances and sight directions are demanded for HCI and multimedia applications. Traditional approaches for face tracking and eye tracking from 2D vid...
Shaun J. Canavan, Lijun Yin
ICIAP
2001
Springer
15 years 9 months ago
Intermediate Representation in Model Based Recognition Using Straight Line and Ellipsoidal Arc Primitives
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...
Sergiu Nedevschi, Tiberiu Marita, Daniela Puiu
ICCV
1998
IEEE
15 years 11 months ago
Sectored Snakes: Evaluating Learned-Energy Segmentations
We describe how to teach deformable models to maximize image segmentation correctness based on user-specified criteria, and we present a method for evaluating which criteria work ...
Samuel D. Fenster, John R. Kender