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Camera Calibration and Improved Computation of Fundamental Matrix in Epipolar Geometry
Jia Duan2; Yuan Yan Tang2; Zhen Chao Zhang2; Chu Yu Guo2; Chi Fang1
2013-09-03
Conference Name2013 2nd International Symposium on Electrical & Electronics Engineering (EEESYM 2013)
Source PublicationApplied Mechanics and Materials
Volume347-350
Pages3624-3628
Conference Date2013
Conference PlaceShijiazhuang
Abstract

In this paper, firstly we try to look for ways to avoid the camera parameters in order to reconstruct 3D model. We attempt to use the parallel stereo visual system and carry out the mathematical derivation of argumentation. Then we use epipolar geometry to solve this problem. And compare the computation algorithms of fundamental matrix. Then for the algorithm, we propose some improvement to compute the fundament matrix more precisely so that the algorithm is more stable and the robustness is stronger. 

KeywordCamera Calibration Epipolar Geometry Fundamental Matrix Parallel Stereo Vision
DOIhttps://doi.org/10.4028/www.scientific.net/AMM.347-350.3624
URLView the original
Language英语
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Document TypeConference paper
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.Department of Electronic Engineering of Tsinghua University,Beijing,100083,China
2.Department of Computer and Information Science, Faculty of Science and Technology, University of Macau, Macau, China
First Author AffilicationFaculty of Science and Technology
Recommended Citation
GB/T 7714
Jia Duan,Yuan Yan Tang,Zhen Chao Zhang,et al. Camera Calibration and Improved Computation of Fundamental Matrix in Epipolar Geometry[C],2013:3624-3628.
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