Development of a bit-level compiler for massively parallel vision chips

Takashi Komuro; Shingo Kagami; Masatoshi Ishikawa; Yoshio Katayama

Development of a bit-level compiler for massively parallel vision chips

Takashi Komuro, Shingo Kagami, Masatoshi Ishikawa, Yoshio Katayama

INF - System Information Sciences

Research output: Contribution to conference › Paper › peer-review

5 Citations (Scopus)

Abstract

An image sensor in which each pixel has a processing element is called a vision chip. The vision chip can perform real-time visual processing at a high frame rate of 1000 fps, and is expected to find application to intelligent robots and electronic devices. The vision chip has a different structure from existing processors and required special programming skills. This paper describes the development example of a vision chip compiler that enables easy programming of the vision chip.

Original language	English
Pages	204-209
Number of pages	6
Publication status	Published - 2005
Event	7th International Workshop on Computer Architecture for Machine Perception, CAMP 2005 - Palermo, Italy Duration: 2005 Jul 4 → 2005 Jul 6

Conference

Conference	7th International Workshop on Computer Architecture for Machine Perception, CAMP 2005
Country/Territory	Italy
City	Palermo
Period	05/7/4 → 05/7/6

Cite this

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abstract = "An image sensor in which each pixel has a processing element is called a vision chip. The vision chip can perform real-time visual processing at a high frame rate of 1000 fps, and is expected to find application to intelligent robots and electronic devices. The vision chip has a different structure from existing processors and required special programming skills. This paper describes the development example of a vision chip compiler that enables easy programming of the vision chip.",

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AU - Kagami, Shingo

AU - Ishikawa, Masatoshi

AU - Katayama, Yoshio

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M3 - Paper

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T2 - 7th International Workshop on Computer Architecture for Machine Perception, CAMP 2005

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Development of a bit-level compiler for massively parallel vision chips

Abstract

Conference

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