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A 30 μw 30 fps 110 × 110 pixels vision sensor embedding local binary patterns

  • Andrew Berkovich
  • , Michela Lecca
  • , Leonardo Gasparini
  • , Pamela A. Abshire
  • , Massimo Gottardi
  • Fondazione Bruno Kessler
  • University of Maryland, College Park

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

We present a 110 × 110 pixel vision sensor that computes the Local Binary Patterns (LBPs) of an imaged scene with a power consumption of 30 μW at 30 fps. The LBP of a given pixel is a binary vector, encoding the direction and sign of image contrast with respect to its neighbors. Each LBP provides a visual description of an image's local structure that is widely used for texture and object recognition. In the sensor proposed here, each pixel detects its corresponding LBP with respect to its four neighboring pixels and saves this information into a digital map using 6 bits to encode each pixel. The operation is executed during the exposure time and requires 83 pW/pixel · frame to be computed. The chip is implemented in a 0.35 μm CMOS featuring 34 T square pixels with 26 μm pitch. We illustrate some examples of image description based on the LBPs output by the sensor.

Original languageEnglish
Article number7140837
Pages (from-to)2138-2148
Number of pages11
JournalIEEE Journal of Solid-State Circuits
Volume50
Issue number9
DOIs
StatePublished - Sep 1 2015

Keywords

  • Active pixel sensors
  • image sensors
  • local binary pattern
  • low-power vision
  • visual processing

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