Title :
Robust-rotation recognition based on contour matching using CUDA in automation system
Author :
SangKwon Sim ; Jong-hak Kim ; Zhongyun Yuan ; Seong-muk Kang ; Jun-dong Cho
Author_Institution :
Sch. of Inf. & Commun., Sungkyunkwan Univ., Suwon, South Korea
Abstract :
This paper presents an object recognition algorithm for machine vision in the factory robot automation application. Especially when the object is rotational states, the automated machine needs the exact angle and recognition algorithm of high reliability with fast processing speed. Therefore, in this paper, we propose a method focusing on the robust-rotation recognition algorithm by using a CCD (Centroid Contour Distance) method. Furthermore, the proposed algorithm targets reducing the processing speed by using the CUDA (Compute Unified Device Architecture) for real-time processing.
Keywords :
computer vision; control engineering computing; factory automation; image matching; industrial robots; object recognition; parallel architectures; production engineering computing; robot vision; CCD method; CUDA; automated machine; automation system; centroid contour distance; compute unified device architecture; contour matching; factory robot automation application; machine vision; object recognition algorithm; robust-rotation recognition; robust-rotation recognition algorithm; Algorithm design and analysis; Charge coupled devices; Graphics processing units; Histograms; Labeling; Robustness; Shape; CUDA; Centroid Contour Distance; GPGPU; Labeling; Recognition; SAD; Vision;
Conference_Titel :
Consumer Electronics (ISCE), 2015 IEEE International Symposium on
Conference_Location :
Madrid
DOI :
10.1109/ISCE.2015.7177791
