DocumentCode :
596668
Title :
Review on grain quantity recognition methods based on computer vision
Author :
Xiuhua Li ; Wenfu Wu ; Xinyao Zhuang ; Liming Song
Author_Institution :
Sch. of Biol. & Agric. Eng., Jilin Univ., Changchun, China
fYear :
2012
fDate :
18-20 Oct. 2012
Firstpage :
665
Lastpage :
668
Abstract :
In grain reserve automatic supervision and audit, the inevitable trend is automatic recognition of grain quantity based on computer vision. To the drawbacks of present grain quantity measurement methods, this paper brought forward a new recognition method based on laser and three-dimensional reconstruction for bulk warehouse. It summarized the implementation process of present methods based on image recognition, and analyzed the principle of the method raised by this paper. At last it compared them, and looked into the future of automatic grain quantity recognition.
Keywords :
computer vision; image recognition; image reconstruction; laser ranging; automatic grain quantity recognition; bulk warehouse; computer vision; grain quantity measurement method; grain reserve automatic audit; grain reserve automatic supervision; image recognition; laser range finding; three-dimensional reconstruction; Calibration; Cameras; Educational institutions; Head; Image recognition; Lasers; Measurement by laser beam;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
Type :
conf
DOI :
10.1109/ICACI.2012.6463250
Filename :
6463250
Link To Document :
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