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» Point cloud matching based on 3D self-similarity
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VISUALIZATION
1999
IEEE
15 years 3 months ago
Feature Comparisons of 3-D Vector Fields Using Earth Mover's Distance
ct A method for comparing three-dimensional vector fields constructed from simple critical points is described. This method is a natural extension of the previous work [1] which de...
Rajesh Batra, Lambertus Hesselink
MICCAI
2008
Springer
16 years 25 days ago
Spatial Consistency in 3D Tract-Based Clustering Statistics
We propose a novel technique for tract-based comparison of DTI-indices between groups, based on a representation that is estimated while matching fiber tracts. The method involves ...
Matthan Caan, Lucas J. van Vliet, Charles B. L. ...
CVPR
1998
IEEE
16 years 1 months ago
Efficient Multiple Model Recognition in Cluttered 3-D Scenes
We present a 3-D shape-based object recognition system for simultaneous recognition of multiple objects in scenes containing clutter and occlusion. Recognition is based on matchin...
Andrew Edie Johnson, Martial Hebert
91
Voted
ICPR
2010
IEEE
15 years 1 months ago
Evaluation of a New Point Clouds Registration Method Based on Group Averaging Features
Registration of point clouds is required in the processing of large biological data sets. The tradeoff between computation time and accuracy of the registration is the main challen...
Maja Temerinac-Ott, Margret Keuper, Hans Burkhardt
ICIP
2005
IEEE
16 years 1 months ago
Color signal decomposition method using 3-D Gamut boundary of multi-primary display
Color signal decomposition method is to decompose the conventional three-primary colors(RGB) into the multiprimary control values of multi-primary display(MPD) under the constraint...
Dong-Woo Kang, Yang-Ho Cho, Myong-Young Lee, Tae-Y...