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» A Generative Model Based Approach to Motion Segmentation
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CVBIA
2005
Springer
14 years 1 months ago
Shape Based Segmentation of Anatomical Structures in Magnetic Resonance Images
Standard image based segmentation approaches perform poorly when there is little or no contrast along boundaries of different regions. In such cases, segmentation is largely perfor...
Kilian M. Pohl, John W. Fisher III, Ron Kikinis, W...
CGI
1998
IEEE
14 years 11 days ago
Deformable Surfaces for Feature Based Indirect Volume Rendering
In this paper we present an indirect volume visualization method, based on the deformable surface model, which is a three dimensional extension of the snake segmentation method. I...
Christoph Lürig, Leif Kobbelt, Thomas Ertl
IROS
2009
IEEE
120views Robotics» more  IROS 2009»
14 years 2 months ago
Interactive learning of visually symmetric objects
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
Wai Ho Li, Lindsay Kleeman
AIIA
2003
Springer
13 years 11 months ago
A Neural Architecture for Segmentation and Modelling of Range Data
A novel, two stage, neural architecture for the segmentation of range data and their modeling with undeformed superquadrics is presented. The system is composed by two distinct neu...
Roberto Pirrone, Antonio Chella
ICPR
2000
IEEE
14 years 9 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...