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MICCAI
2007
Springer
16 years 7 months ago
Detection of Spatial Activation Patterns as Unsupervised Segmentation of fMRI Data
In functional connectivity analysis, networks of interest are defined based on correlation with the mean time course of a user-selected `seed' region. In this work we propose ...
Polina Golland, Yulia Golland, Rafael Malach
3DOR
2008
15 years 8 months ago
Markov Random Fields for Improving 3D Mesh Analysis and Segmentation
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
Guillaume Lavoué, Christian Wolf
ICPR
2002
IEEE
16 years 7 months ago
4-D Voting for Matching, Densification and Segmentation into Motion Layers
* We present a novel approach for grouping from motion, based on a 4-D Tensor Voting computational framework. From sparse point tokens in two frames we recover the dense velocity f...
Gérard G. Medioni, Mircea Nicolescu
HLK
2003
IEEE
15 years 11 months ago
Pose-Based Clustering in Action Sequences
A method is presented for automatically extracting key frames from an image sequence. The sequence is divided into clusters of frames with similar appearance, and the most central...
Gareth Loy, Josephine Sullivan, Stefan Carlsson
ICCV
1999
IEEE
16 years 8 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss