Title :
Multiple view 3D registration: a review and a new technique
Author :
Williams, J.A. ; Bennamoun, M. ; Latham, S.
Author_Institution :
Space Centre for Satellite Navigation, Queensland Univ. of Technol., Brisbane, Qld., Australia
fDate :
6/21/1905 12:00:00 AM
Abstract :
The contribution of the paper is two-fold: firstly, a review of the point set registration literature is given, and secondly a novel weighted least squares formulation of the point set registration problem is presented. Numerical registration results, produced by registering 3D point correspondence data sets using the weighted least squares approach show improved accuracy over those produced by an unweighted least squares formulation for cases where the point measurements are heteroscedastically and anisotropically distributed
Keywords :
computer vision; image registration; least squares approximations; stereo image processing; 3D point correspondence data set registration; accuracy; multiple view 3D registration; numerical registration results; point set registration; weighted least squares formulation; Anisotropic magnetoresistance; Image reconstruction; Least squares methods; Motion estimation; Noise measurement; Position measurement; Space technology; Special issues and sections; Surface reconstruction; Surface topography;
Conference_Titel :
Systems, Man, and Cybernetics, 1999. IEEE SMC '99 Conference Proceedings. 1999 IEEE International Conference on
Conference_Location :
Tokyo
Print_ISBN :
0-7803-5731-0
DOI :
10.1109/ICSMC.1999.823255
