DocumentCode :
3314416
Title :
A vision measurement algorithm based on divergent facula structured light
Author :
Haitao Song ; Han Xiao ; Wenhao He ; Feng Wen ; Kui Yuan
Author_Institution :
Inst. of Autom., Beijing, China
fYear :
2013
fDate :
4-7 Aug. 2013
Firstpage :
1350
Lastpage :
1355
Abstract :
Obtaining the depth information of a large area is indispensable for some specific applications. In the circumstances, a vision measurement algorithm based on divergent facula structured light is proposed. It is implemented on an embedded image processing board which contains an FPGA and a DSP. A laser beam with a certain divergence angle is projected onto the plane to be measured, and a camera captures the facula image. Then the major and minor axes of the facula ellipse in the image are calculated by ellipse fitting so as to obtain the depth information of the plane. Measurement results of different ranges validate the effectiveness of the proposed method.
Keywords :
computer vision; digital signal processing chips; field programmable gate arrays; optical variables measurement; DSP; FPGA; depth information; digital signal processor; divergence angle; divergent facula structured light; ellipse fitting; embedded image processing board; facula ellipse; facula image capture; field programmable gate array; laser beam; vision measurement algorithm; Cameras; Digital signal processing; Fitting; Image processing; Laser beams; Measurement by laser beam; Measurement uncertainty; Distance measurement; Divergent facula; Ellipse fitting; Structured light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-5557-5
Type :
conf
DOI :
10.1109/ICMA.2013.6618109
Filename :
6618109
Link To Document :
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