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Author:

Wang, Liang (Wang, Liang.) | Duan, FuQing (Duan, FuQing.) | Liang, Chao (Liang, Chao.)

Indexed by:

EI Scopus

Abstract:

The emergent one-dimensional (1D) calibration is very suitable for multi-camera calibration. However its accuracy is not satisfactory. Conventional optimal algorithms, such as bundle adjustment, do not perform well for the non-convex optimization of 1D calibration. In this paper, a practical optimal algorithm for camera calibration with 1D objects using branch and bound framework is presented. To obtain the optimal solution which can provide Ε-optimality, tight convex relaxations of the objective functions are constructed and minimized in a branch and bound optimization framework. Experiments prove the validity of the proposed method. © 2011, Springer-Verlag Berlin Heidelberg.

Keyword:

Convex optimization One dimensional Cameras Relaxation processes Human computer interaction Calibration

Author Community:

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

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ISSN: 0302-9743

Year: 2011

Volume: 6761 LNCS

Page: 660-669

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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