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A QVGA-Size Pixel-Parallel Image Processor for 1,000-fps Vision

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3 Author(s)
Komuro, T. ; Univ. of Tokyo, Tokyo, Japan ; Iwashita, A. ; Ishikawa, M.

Massively parallel image processing with as many processing elements as pixels can achieve real-time vision with rates as high as 1,000 frames per second. The authors implemented a QVGA-size pixel-parallel image processor for object identification and pose estimation on a single chip. Bit-serial operation and dynamic logic reduce the circuit area, and pipelining enables high processing speed.

Published in:
Micro, IEEE  (Volume:29 ,  Issue: 6 )

Date of Publication: Nov.-Dec. 2009

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