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

fYear

2015

fDate

24-26 June 2015

Firstpage

1

Lastpage

2

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics (ISCE), 2015 IEEE International Symposium on

Conference_Location

Madrid

Type

conf

DOI

10.1109/ISCE.2015.7177791

Filename

7177791