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Optimization of camera arrangement using correspondence field to improve depth estimation

Journal Article


Abstract


  • Stereo matching algorithms attempt to estimate depth from the images obtained by two cameras. In most cases, the arrangement of cameras (their locations and orientations with respect to the scene) is determined based on human experience. In this paper, it is shown that the camera arrangement can be optimized using the concept of correspondence field (CF) for better acquisition of depth. Specifically, this paper demonstrates the relationship between the CF of a pair of cameras and depth estimation accuracy and presents a method to optimize their arrangement based on the gradient of the CF. The experimental results show that a pair of cameras optimized by the proposed method can improve the accuracy of depth estimation by as much as 30% compared with the conventional camera arrangements.

Publication Date


  • 2017

Citation


  • S. Fu, F. Safaei & W. Li, "Optimization of camera arrangement using correspondence field to improve depth estimation," IEEE Transactions on Image Processing, vol. 26, (6) pp. 3038-3050, 2017.

Scopus Eid


  • 2-s2.0-85018866517

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/208

Number Of Pages


  • 12

Start Page


  • 3038

End Page


  • 3050

Volume


  • 26

Issue


  • 6

Place Of Publication


  • United States

Abstract


  • Stereo matching algorithms attempt to estimate depth from the images obtained by two cameras. In most cases, the arrangement of cameras (their locations and orientations with respect to the scene) is determined based on human experience. In this paper, it is shown that the camera arrangement can be optimized using the concept of correspondence field (CF) for better acquisition of depth. Specifically, this paper demonstrates the relationship between the CF of a pair of cameras and depth estimation accuracy and presents a method to optimize their arrangement based on the gradient of the CF. The experimental results show that a pair of cameras optimized by the proposed method can improve the accuracy of depth estimation by as much as 30% compared with the conventional camera arrangements.

Publication Date


  • 2017

Citation


  • S. Fu, F. Safaei & W. Li, "Optimization of camera arrangement using correspondence field to improve depth estimation," IEEE Transactions on Image Processing, vol. 26, (6) pp. 3038-3050, 2017.

Scopus Eid


  • 2-s2.0-85018866517

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/208

Number Of Pages


  • 12

Start Page


  • 3038

End Page


  • 3050

Volume


  • 26

Issue


  • 6

Place Of Publication


  • United States