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» A New Bayesian Method for Range Image Segmentation
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ICPR
2002
IEEE
14 years 2 months ago
3-D Object Representation from Multi-View Range Data Applying Deformable Superquadrics
This paper presents a new framework for recovering superquadrics with global deformations from multi-view real range data. The framework aims at improving confidence and accuracy...
Yan Zhang, Joon Ki Paik, Andreas Koschan, Mongi A....
MICCAI
2005
Springer
14 years 10 months ago
Random Walks for Interactive Organ Segmentation in Two and Three Dimensions: Implementation and Validation
A new approach to interactive segmentation based on random walks was recently introduced that shows promise for allowing physicians more flexibility to segment arbitrary objects in...
Leo Grady, Thomas Schiwietz, Shmuel Aharon, Rü...
GI
2007
Springer
14 years 3 months ago
Enhanced Disparity Computation for ADAS Applications
: Many of ADAS applications such as pedestrian and vehicle detection are using stereo vision. By computing the well-known disparity the range of objects ahead of the car can be det...
Basel Fardi, Ammar Abbas, Gerd Wanielik
IPMI
2005
Springer
14 years 10 months ago
Multi-object Segmentation Using Shape Particles
Deformable template models, in which a shape model and its corresponding appearance model are deformed to optimally fit an object in the image, have proven successful in many medic...
Marleen de Bruijne, Mads Nielsen
ICIP
2008
IEEE
14 years 10 months ago
Multiscale recurrent pattern image coding with a flexible partition scheme
In this paper we present a new segmentation method for the Multidimensional Multiscale Parser (MMP) algorithm. In previous works we have shown that, for text and compound images, ...
Eduardo A. B. da Silva, Manuel J. C. S. Reis, Muri...