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Proceedings Paper

Adjustment-based data fusion method in the pose relay videometric using camera network
Author(s): Zhi-chao Chao; Qi-feng Yu; Si-hua Fu; Guang-wen Jiang
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Paper Abstract

Traditional videometric approach cannot be used to measure the pose deformation of objects in a large viewing field or of non-intervisible objects in the large structures, however, pose-relay videometric using camera series or camera network can be used to overcome the difficulties. It is a usual practice to fuse the pose data by using the constrained conditions abounding in the camera network in order to improve the measurement precision. This article first provides a brief introduction to the principle underlying the method of camera network videometric and an analysis of its constraint conditions in light of the graph theory; then it proposes and experiments on an adjustment-based data fusion method in the pose relay videometric using camera network; finally, it manifests a numerical simulation on the proposed method. The results show that it is able to effectively suppress noises and improve the measurement precision because they can take full advantages of the constraint conditions intrinsic to the camera network.

Paper Details

Date Published: 18 August 2011
PDF: 8 pages
Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81940C (18 August 2011); doi: 10.1117/12.896294
Show Author Affiliations
Zhi-chao Chao, National Univ. of Defense Technology (China)
Hunan Key Lab. for Image Measurement and Vision Navigation (China)
Qi-feng Yu, Hunan Key Lab. for Image Measurement and Vision Navigation (China)
National Univ. of Defense Technology (China)
Si-hua Fu, National Univ. of Defense Technology (China)
Hunan Key Lab. for Image Measurement and Vision Navigation (China)
Guang-wen Jiang, National Univ. of Defense Technology (China)
Hunan Key Lab. for Image Measurement and Vision Navigation (China)


Published in SPIE Proceedings Vol. 8194:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications
Makoto Ikeda; Nanjian Wu; Guangjun Zhang; Kecong Ai, Editor(s)

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