DocumentCode :
2284210
Title :
A direct method for the simultaneous and optimal multidimensional models registration
Author :
Beinat, Alberto ; Crosilla, Fabio
Author_Institution :
Dipt. di Georisorse e Territorio, Udine Univ., Italy
fYear :
2001
fDate :
2001
Firstpage :
283
Lastpage :
287
Abstract :
An innovative solution of the global multidimensional registration problem for a set of partial object models is introduced and explained. The method, based on the classical tie-point concept, is capable to directly and optimally align models indefinitely rotated, translated and scaled. The pre-registration is carried out in an automatic way without the need of initial manual superimposition nor of approximate starting values of the transformation parameters. Registration algorithms implementing the singular value decomposition of matrix products of limited size are used in every step of the process. The procedure is based on the algorithms of the Procrustes analysis. One consequent advantage is that there are no space dimensions restrictions. This is particularly helpful for laser scanning and digital photogrammetry applications, where a set of attributes associated to the different tie-points (i.e. CYMK or RGB color components and intensity) can be used in conjunction with the corresponding Cartesian coordinate values. This connection can improve the registration reliability of range-colored images, matching simultaneously geometry, nature and aspect. The numerical experiments carried out confirm the advantages of the multidimensional approach proposed
Keywords :
image registration; least squares approximations; photogrammetry; remote sensing by laser beam; singular value decomposition; terrain mapping; Cartesian coordinate; Procrustes analysis; digital photogrammetry; laser scanning; matrix products; optimal multidimensional models registration; partial object models; pre-registration; range-colored images; registration reliability; singular value decomposition; space dimensions; tie-point concept; Algorithm design and analysis; Geometrical optics; Least squares approximation; Least squares methods; Mathematical model; Matrix decomposition; Multidimensional systems; Psychology; Singular value decomposition; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Remote Sensing and Data Fusion over Urban Areas, IEEE/ISPRS Joint Workshop 2001
Conference_Location :
Rome
Print_ISBN :
0-7803-7059-7
Type :
conf
DOI :
10.1109/DFUA.2001.985897
Filename :
985897
Link To Document :
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