Highly optimized implementation of OpenCV for the Cell Broadband Engine

Authors:
Hiroki Sugano;Ryusuke Miyamoto
Affiliations:
Department of Communications and Computer Engineering, Graduate School of Informatics, Kyoto University, Yoshida-hon-machi, Sakyo, Kyoto 606-8501, Japan;Department of Information Systems, Graduate School of Information Science, Nara Institute of Science and Technology, 8916-5, Takayama-cho, Ikoma, Nara 630-0192, Japan
Venue:
Computer Vision and Image Understanding
Year:
2010

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Abstract

Recently, real-time processing of image recognition is required for embedded applications such as automotive applications, robotics, entertainment, and so on. To realize real-time processing of image recognition on such systems we need optimized libraries for embedded processors. OpenCV is one of the most widely used libraries for computer vision applications and has many functions optimized for Intel processors, but no function is optimized for embedded processors. We present a parallel implementation of OpenCV library on the Cell Broadband Engine (Cell), which is one of the most widely used high performance embedded processors. Experimental result shows that most of the functions optimized for the Cell processor are faster than functions optimized for Intel Core 2 Duo E6850 3.00GHz.