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Binocular vision calibration and 3D re-construction with an orthogonal learning neural network
Ge,Dong yuan1,2; Yao,Xi fan3; Lian,Zhao tong2
2016-12-01
Source PublicationMultimedia Tools and Applications
ISSN1380-7501
Volume75Issue:23Pages:15635-15650
Abstract

A new approach for binocular vision system calibration and 3D re-construction is proposed. While the system is calibrated, the sum of square distances between the vector coordinates recombined with the coordinates of feature points in the world frame and those in image frame to the fitted hyperplane is taken as an objective function. An orthogonal learning neural network is designed, where a self-adaptive minor component extracting method is adopted. When the network comes to equilibrium, the projective matrixes for the two cameras are obtained from the eigen-vectors of the autocorrelation matrix corresponding to the minimum eigen values, so the calibration of the binocular vision system is achieved. As for 3D re-construction, an autocorrelation matrix is obtained from feature point coordinates in image planes and calibration data, and an orthogonal learning network is designed. After the network is trained, the autocorrelation matrix’s eigen-vector corresponding to the minimum eigen-values is obtained, from which the 3D coordinates are obtained also. The proposed approach is a novel application of minor component analysis and orthogonal learning network in binocular vision system and 3D re-construction.

KeywordBinocular Vision Eigen-value Eigen-vector Orthogonal Learning State Transition Matrix System Calibration
DOI10.1007/s11042-015-2845-5
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS IDWOS:000388121700032
PublisherSPRINGER, VAN GODEWIJCKSTRAAT 30, 3311 GZ DORDRECHT, NETHERLANDS
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Citation statistics
Cited Times [WOS]:3   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Business Administration
DEPARTMENT OF ACCOUNTING AND INFORMATION MANAGEMENT
Affiliation1.Department of Mechanical and Electrical Engineering,Tan Kah Kee College,Xiamen University,,Zhangzhou,363105,China
2.Faculty of Business Administration,University of Macau,,Macau,Macao
3.School of Mechanical and Automotive Engineering,South China University of Technology,,Guangzhou,510640,China
First Author AffilicationFaculty of Business Administration
Recommended Citation
GB/T 7714
Ge,Dong yuan,Yao,Xi fan,Lian,Zhao tong. Binocular vision calibration and 3D re-construction with an orthogonal learning neural network[J]. Multimedia Tools and Applications,2016,75(23):15635-15650.
APA Ge,Dong yuan,Yao,Xi fan,&Lian,Zhao tong.(2016).Binocular vision calibration and 3D re-construction with an orthogonal learning neural network.Multimedia Tools and Applications,75(23),15635-15650.
MLA Ge,Dong yuan,et al."Binocular vision calibration and 3D re-construction with an orthogonal learning neural network".Multimedia Tools and Applications 75.23(2016):15635-15650.
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