DocumentCode
2315622
Title
A Hybrid Algorithm for Solving 7 Parameters Transformation
Author
Hashemi, Amir ; Kalantari, Mahzad
Author_Institution
Dept. of Math. Sci., Isfahan Univ. of Technol., Isfahan, Iran
fYear
2009
fDate
26-29 Sept. 2009
Firstpage
37
Lastpage
44
Abstract
The 7 parameters transformation is a well-known problem in engineering sciences such as Computer Vision, Survey Engineering and Photogrammetry. To solve this problem, we use an algebraic solver in which we need to transform the input system into an equivalent system, but better adapted such as a Gro¿bner basis. For operational applications of this problem, we need to compute this basis as fast as possible. In this paper, we describe an efficient hybrid algorithm which employs both Buchberger algorithm and Faugere\´s F5 algorithm to compute this basis. Using this algorithm, we record the "trace" of the useful calculations for computing the Gro¿bner basis of the polynomial ideal generated by the equations of the system. For any coordinates of input points, this trace can provide directly the Gro¿bner basis of the ideal generated by the system without useless computations.
Keywords
nonlinear equations; polynomials; process algebra; 7 parameters transformation; Buchberger algorithm; Faugere F5 algorithm; Gro¿bner basis; algebraic solver; computer vision; engineering science; equivalent system; hybrid algorithm; photogrammetry; survey engineering; Application software; Computer vision; Equations; Geodesy; History; Jacobian matrices; Polynomials; Scientific computing; Stereo vision; Transforms; 7 parameters transformation problem; Buchberger algorithm; Faugère´s F5 algorithm; Gröbner basis; computer vision; direct solution; photogrammetry;
fLanguage
English
Publisher
ieee
Conference_Titel
Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2009 11th International Symposium on
Conference_Location
Timisoara
Print_ISBN
978-1-4244-5910-0
Electronic_ISBN
978-1-4244-5911-7
Type
conf
DOI
10.1109/SYNASC.2009.17
Filename
5460869
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