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

Abstract

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.