Title :
Binocular Stereo Vision Measuring System Based on Structured Light Extraction Algorithm
Author :
Zhao, Lingli ; Xu, Haicheng ; Li, Junsheng ; Cai, Qun
Author_Institution :
Sch. of Eng., Honghe Univ., Mengzi, China
Abstract :
With the rapid development of computer technology and photogrammetry, the binocular 3D measurement has been widely used in many fields such as quality inspection and reverse engineering. Depending on the application, there are different requirements for 3D measurement systems. Structured light image feature extraction is an important part of the binocular measurement system to achieve three-dimensional reconstruction. So, the paper puts forward a kind of approach for edge detection and edge tracking, using the edge tracking algorithm proposed by the paper to extract structured light stripes, and the method using chain code track record of the extracted features, and something useful is obtained.
Keywords :
edge detection; feature extraction; image reconstruction; measurement systems; stereo image processing; binocular 3D measurement system; binocular stereo vision measuring system; chain code; edge detection; edge tracking algorithm; quality inspection; reverse engineering; structured light image feature extraction algorithm; structured light stripe extraction; three-dimensional reconstruction; Atmospheric measurements; Digital cameras; Educational institutions; Feature extraction; Image edge detection; Morphology; Particle measurements; Binocular stereo vision; Light extraction; Measuring;
Conference_Titel :
Industrial Control and Electronics Engineering (ICICEE), 2012 International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4673-1450-3
DOI :
10.1109/ICICEE.2012.174