A VLSI sorting image sensor: global massively parallel intensity-to-time processing for low-latency adaptive vision

@article{Brajovic1999AVS,
  title={A VLSI sorting image sensor: global massively parallel intensity-to-time processing for low-latency adaptive vision},
  author={Vladimir Brajovic and Takeo Kanade},
  journal={IEEE Trans. Robotics and Automation},
  year={1999},
  volume={15},
  pages={67-75}
}
This paper presents a new intensity-to-time processing paradigm suitable for very large scale integration (VLSI) computational sensor implementation of global operations over sensed images. Global image quantities usually describe images with fewer data. When computed at the point of sensing, global quantities result in a low-latency performance due to the reduced data transfer requirements between an image sensor and a processor. The global quantities also help global top-down adaptation: the… CONTINUE READING
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