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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.
Date of Publication: Nov.-Dec. 2009