Open AccessA multi-view image rectification algorithm for matrix camera arrangement
Author(s) -
Jianchen Yang,
Fei Guo,
Huogen Wang,
Zhiyong Ding
Publication year - 2013
Publication title -
artificial intelligence research
Language(s) - English
Resource type - Journals
eISSN - 1927-6982
pISSN - 1927-6974
DOI - 10.5430/air.v3n1p18
Subject(s) - rectification , image rectification , matrix (chemical analysis) , computer vision , essential matrix , image (mathematics) , trace (psycholinguistics) , camera matrix , algorithm , ideal (ethics) , computer science , artificial intelligence , fundamental matrix (linear differential equation) , rotation (mathematics) , projection (relational algebra) , mathematics , camera auto calibration , camera resectioning , state transition matrix , symmetric matrix , pinhole camera model , physics , mathematical analysis , power (physics) , linguistics , eigenvalues and eigenvectors , epistemology , philosophy , composite material , quantum mechanics , materials science
This paper presents a rectification algorithm for multi-view images captured by a matrix multi-camera arrangement. In this work,an ergodic method is proposed to trace the ideal rotation matrix and the preferred location of the optical centers. Moreover, thecamera’s intrinsic parameters are optimized to obtain the ideal projection matrix, from which the image rectifying transformmatrix(IRTM) is further derived. Then the multi-view image is rectified with the IRTM. Experimental results show that thisproposed algorithm has great effect on multi-view image rectification for matrix camera arrangement.
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