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ICCV
2007
IEEE
15 years 4 months ago
Two-View Motion Segmentation by Mixtures of Dirichlet Process with Model Selection and Outlier Removal
This paper presents a novel motion segmentation algorithm on the basis of mixture of Dirichlet process (MDP) models, a kind of nonparametric Bayesian framework. In contrast to pre...
Yong-Dian Jian, Chu-Song Chen
ECCV
2002
Springer
15 years 12 months ago
A Stochastic Algorithm for 3D Scene Segmentation and Reconstruction
In this paper, we present a stochastic algorithm by effective Markov chain Monte Carlo (MCMC) for segmenting and reconstructing 3D scenes. The objective is to segment a range image...
Feng Han, Zhuowen Tu, Song Chun Zhu
TMI
2008
149views more  TMI 2008»
14 years 10 months ago
Shape-Driven Three-Dimensional Watersnake Segmentation of Biological Membranes in Electron Tomography
Abstract--Due to the significant complexity of membrane morphology and the generally poor image quality in electron tomographic volumes, current automatic methods for segmentation ...
Hieu Tat Nguyen, Qiang Ji
VISSYM
2003
14 years 11 months ago
Hierarchical Isosurface Segmentation Based on Discrete Curvature
A high-level approach to describe the characteristics of a surface is to segment it into regions of uniform curehavior and construct an abstract representation given by a (topolog...
Fabien Vivodtzev, Lars Linsen, Georges-Pierre Bonn...
NIPS
2004
14 years 11 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...