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Author:

Wang, Liang (Wang, Liang.) | Duan, Fuqing (Duan, Fuqing.)

Indexed by:

EI Scopus

Abstract:

Camera calibration is a necessary step to extract 3D information from 2D images. Since the 1D object is easy to construct and without self-occlusion, the 1D calibration proposed by Zhang has received many attentions. However, the progress in 1D calibration mainly focuses on reducing restrictions on the 1D object's movements. The calibration accuracy still demands improvements. In this paper, the computational model of 1D calibration is reformulated, noises in 1D calibration are analyzed with this model, and an heteroscedastic error-in-variables model-based 1D calibration algorithm is proposed. In comparison with exiting algorithms, the proposed algorithm has advantages of high accuracy with a small number of measurements, rapid convergence and weak insensitivity to initial conditions. Experiments with both synthetic and real image data validate the proposed algorithm. © 2011 IEEE.

Keyword:

Cameras Image processing One dimensional Calibration

Author Community:

  • [ 1 ] [Wang, Liang]Beijing University of Technology, College of Electronic Information and Control Engineering, Beijing 100124, China
  • [ 2 ] [Duan, Fuqing]Beijing Normal University, College of Information Science and Technology, Beijing 100875, China

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ISSN: 1522-4880

Year: 2011

Page: 857-860

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 8

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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