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author:

Chen, A. (Chen, A..) [1] | He, B. (He, B..) [2]

Indexed by:

Scopus

Abstract:

In this paper, a new technique for camera calibration based on planar geometry feature is proposed. It only requires three views from the newly designed planar calibration pattern, which is a square tessellated model plane with the black-and-white alternate square grids, then all the five intrinsic parameters can be recovered linearly. Our calibration method needs neither any geometric measurements on the model plane, nor any matching information between the model plane and the image plane, and avoids the errors caused by the pick-up of irregular geometry feature from the image. It greatly decreases the system setup costs and simplifies image feature extraction works. Hence the calibration process is easily performed for the user. Experimental results on simulated data and real data show the feasibility of the proposed technique. ©2007 IEEE.

Keyword:

3D reconstruction; Camera calibration; Computer vision; Vanishing point

Community:

  • [ 1 ] [Chen, A.]School of Mechanical Engineering and Automation, Fuzhou University, 350108, China
  • [ 2 ] [He, B.]School of Mechanical Engineering and Automation, Fuzhou University, 350108, China

Reprint 's Address:

  • [Chen, A.]School of Mechanical Engineering and Automation, Fuzhou University, 350108, China

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Source :

Proceedings 14th International Conference on Mechatronics and Machine Vision in Practice, M2VIP2007

Year: 2007

Page: 165-169

Language: English

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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