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author:

he, B.W. (he, B.W..) [1] | Zhou, X.L. (Zhou, X.L..) [2] | li, Y.F. (li, Y.F..) [3]

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Abstract:

The problem of finding intrinsic parameters of a camera is extremely important for practical applications. In this paper, we present an approach for automatic estimation of intrinsic parameters from images by using the vanishing points in orthogonal directions. Firstly, image lines are extracted and clustered into groups corresponding to three dominant vanishing points. Secondly, the intrinsic parameters of the camera are determined by using the vanishing points in each image. The rotation matrix of the projection matrix is computed from the vanishing points and image edges while the translation matrix is obtained with additional translation motion between the viewpoints. Our approach does not need any prior information about the cameras being used. Experiments with real images show that our new technique is robust and accurate. © 2010, The Institute of Measurement and Control. All rights reserved.

Keyword:

camera calibration; projection matrix; rotation matrix; vanishing point

Community:

  • [ 1 ] [he, B.W.]School of Mechanical Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [he, B.W.]State key Laboratory of Precision Measuring Technology and Instruments, Tianjin University, Tianjin, China
  • [ 3 ] [Zhou, X.L.]School of Mechanical Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [li, Y.F.]Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Kowloon, Hong Kong

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Source :

Transactions of the Institute of Measurement and Control

ISSN: 0142-3312

Year: 2011

Issue: 7

Volume: 33

Page: 806-822

0 . 6 9 2

JCR@2011

1 . 7 0 0

JCR@2023

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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