DocumentCode :
2669628
Title :
An algebraic framework for using geometric constraints of vision and range sensor data
Author :
Deguchi, Koichiro
Author_Institution :
Fac. of Eng., Tokyo Univ., Japan
fYear :
1994
fDate :
2-5 Oct 1994
Firstpage :
329
Lastpage :
336
Abstract :
Proposes a new framework for fusing multiple geometric sensor outputs to reconstruct 3-dimensional target shapes. The proposed framework is of an application of Wu´s mechanical theorem proving method in algebraic geometry. First the author lists three groups of equations on the constraints. Next, the author classifies all the groups of equations into two sets, a set of hypotheses and a conjecture. Then, the author applies Wu´s method to prove that the hypotheses follow the conjecture and obtain pseudo-divided remainders of the conjectures, which represent new relations of geometric measures such as angles or lengths between 3-D space and their projected data on the sensors. As an example, a typical case is considered where an image sensor and a range sensor are used together to reconstruct and recognize 3-D object shapes. By this method the author obtained new geometrical relations for seven cases of geometrical models
Keywords :
algebra; geometry; image reconstruction; image sensors; object recognition; sensor fusion; 3-D space; 3-dimensional target shapes; Wu´s mechanical theorem proving method; algebraic framework; angles; geometric constraints; geometrical models; image sensor; lengths; lgebraic geometry; multiple geometric sensor outputs; range sensor; vision sensor; Equations; Geometry; Goniometers; Image recognition; Image reconstruction; Image sensors; Length measurement; Mechanical sensors; Shape; Solid modeling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multisensor Fusion and Integration for Intelligent Systems, 1994. IEEE International Conference on MFI '94.
Conference_Location :
Las Vegas, NV
Print_ISBN :
0-7803-2072-7
Type :
conf
DOI :
10.1109/MFI.1994.398436
Filename :
398436
Link To Document :
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