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Please use this identifier to cite or link to this item: http://scholars.ntou.edu.tw/handle/123456789/18123
Title: Parameter estimation in the three-point perspective projection problem in computer vision
Authors: Jih-Gau Juang 
Keywords: Parameter estimation;Computer vision;Equations;polynomials;Image reconstruction;Roundoff errors;Position measurement;Humans;Machine vision;Computational geometry
Issue Date: 7-Jul-1997
Journal Volume: 3
Start page/Pages: 1065-1070
Conference: ISIE '97 Proceeding of the IEEE International Symposium on Industrial Electronics
Guimaraes, Portugal
Abstract: 
A mathematical solution to parameter estimation in the 3-D perspective projection problem is presented. In this paper, the Bairstow method and the direct solution method, which can solve the roots of a fourth order polynomial equation, are used to evaluate the three-point perspective pose estimation problem. When the known triangle size increases, the error will also increase. To avoid this numerical error, the round-off error generated from the computation process needs to be reduced. Most of the roundoff errors came from the cosines law which was used to obtain the perspective projection points' polynomial equation. Here, the authors developed a new method to solve this problem directly without using sinusoidal functions. The evaluation results and advantages are included in a summary.
URI: http://scholars.ntou.edu.tw/handle/123456789/18123
ISBN: 0-7803-3936-3
DOI: 10.1109/ISIE.1997.648887
Appears in Collections:通訊與導航工程學系

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