A Sorting Image Sensor: An Example of Massively Parallel Intensity-to-Time Processing for Low-Latency Computational Sensors

Vladimir Brajovic and Takeo Kanade
Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996, pp. 1638 - 1643.


Download
  • Adobe portable document format (pdf) (276KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Abstract
The need for low-latency vision systems is growing: high speed visual servoing and vision-based human computer interface. In this paper we present a new intensity-to-time processing paradigm suitable for low-latency massively parallel global computation over fine-grained data such as images. As an example of a low-latency global computation, we have developed a VLSI sorting computational sensor-a sensor which sorts all pixels of an input image by their intensities, as the image is being sensed. The first sorting sensor prototype is a 21 by 26 array of cells. It detects an image focused thereon and computes the image of indices as well as the image's cumulative histogram, before the intensity data are readout. The image of indices never saturates and has uniform histogram. Under user's control, the chip can perform other operations including simple segmentation and labeling.

Notes
Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Lab(s) / Group(s): Computational Sensor Laboratory
Note: Anton Philips Prize for the best student paper

Text Reference
Vladimir Brajovic and Takeo Kanade, "A Sorting Image Sensor: An Example of Massively Parallel Intensity-to-Time Processing for Low-Latency Computational Sensors," Proceedings of the 1996 IEEE International Conference on Robotics and Automation, 1996, pp. 1638 - 1643.

BibTeX Reference
@inproceedings{Brajovic_1996_2340,
   author = "Vladimir Brajovic and Takeo Kanade",
   title = "A Sorting Image Sensor: An Example of Massively Parallel Intensity-to-Time Processing for Low-Latency Computational Sensors",
   booktitle = "Proceedings of the 1996 IEEE International Conference on Robotics and Automation",
   pages = "1638 - 1643",
   year = "1996",
   volume = "2",
   Notes = "Anton Philips Prize for the best student paper"
}