Share Email Print
cover

Proceedings Paper

Research on shutter mode of CMOS imager and its application
Author(s): Dan Liu; Zhi Liu; Wei Sun; Jing Zhang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Research the specific applications of rolling shutter of CMOS image sensor with CMOS image sensor. First, this paper introduces the principle and characteristics of global shutter and rolling shutter of the CMOS imager, it analyzes the impact of rolling shutter on measurement precision of the imaging system based on CMOS imager. Imaging experiment is taken to test the analyses of the rolling shutter. Then, an original method for computing instantaneous 3D pose and velocity of fast moving objects using a single view is presented. It exploits image deformations induced by rolling shutter in CMOS image sensors. Finally, a general perspective projection model of a moving 3D point is presented. A solution for the pose and velocity recovery problem is then described. Results indicate that some aberrations appear in faith, and the aberration degree has close relations with some parameters of CMOS imager like integration. After experiments can minimize error in the case of moving objects by the pose and speed parameters, the calculation error is under 2.5 percent. Experimental results with real data confirm the relevance of the approach. The resulting algorithm enables to transform a CMOS low cost and low power camera into an original velocity sensor.

Paper Details

Date Published: 18 August 2011
PDF: 6 pages
Proc. SPIE 8194, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Imaging Detectors and Applications, 81940D (18 August 2011); doi: 10.1117/12.896734
Show Author Affiliations
Dan Liu, Changchun Univ. Science and Technology (China)
Zhi Liu, Changchun Univ. Science and Technology (China)
Wei Sun, Changchun Univ. Science and Technology (China)
Jing Zhang, Changchun Univ. Science and Technology (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)

© SPIE. Terms of Use
Back to Top