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Proceedings Paper

A new double views motion deblurring method
Author(s): Hanyu Hong; Xia Hua; Wenmo Zhang; Yu Shi
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Paper Abstract

With improving of intelligent and automation in modern industrial production area, the detection and reconstruction of the 3D surface of the product has become an important technology, but the image which acquire on the actual production line has motion blur and this problem will affect the later reconstruction work. In order to solve this problem, a deblurring method which based on double view moving target image is proposed in this paper. We can deduce the relationship of the point spread function(PSF) path between the double view image through the epipolar geometry and the camera model. The experimental results show that deblurring with the PSF path solved by the geometric relationship achieves good results.

Paper Details

Date Published: 14 December 2015
PDF: 7 pages
Proc. SPIE 9813, MIPPR 2015: Pattern Recognition and Computer Vision, 98130Z (14 December 2015); doi: 10.1117/12.2205879
Show Author Affiliations
Hanyu Hong, Wuhan Institute of Technology (China)
Xia Hua, Wuhan Institute of Technology (China)
Wenmo Zhang, Wuhan Institute of Technology (China)
Yu Shi, Wuhan Institute of Technology (China)


Published in SPIE Proceedings Vol. 9813:
MIPPR 2015: Pattern Recognition and Computer Vision
Tianxu Zhang; Jianguo Liu, Editor(s)

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