Depth image simplification

  • Hernández Arreola V
  • Renero Carrillo F
  • Díaz Hernández R
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Abstract

The stereoscopic vision is widely used to acquire depth information, distances between objects, as well as obstacle detection. In this work, a method that reduces the amount of data to obtain depth information for a specific scenery is proposed. The method reduces a 640x480 size image to a 3x3 matrix, simplifying the instructions and decision making for an actuating device. Excellent results were obtained with a 3 seconds processing time by using Python 3.7.2, Opencv 4.0.1, and two Logitech C170 web cameras.

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Hernández Arreola, V., Renero Carrillo, F. J., & Díaz Hernández, R. (2020). Depth image simplification. OSA Continuum, 3(5), 1117. https://doi.org/10.1364/osac.388580

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