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Application-Oriented Retinal Image Models for Computer Vision.

Ewerton Silva1, Ricardo da S Torres2, Allan Pinto1

  • 1Institute of Computing, University of Campinas, Campinas 13083-852, Brazil.

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|July 9, 2020
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Summary
This summary is machine-generated.

This study introduces Application-Oriented Retinal Image Models to reduce energy and storage needs in computer vision (CV) applications. These models optimize data capture, decreasing energy consumption and improving efficiency for CV tasks.

Area of Science:

  • Computer Vision
  • Image Processing
  • Energy-Efficient Computing

Background:

Keywords:
energy consumptionfoveationlow-powerretinal image modelspace-variant computer vision

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  • Computer vision (CV) applications face challenges with high energy and storage demands, especially in low-power environments.
  • Conventional uniform image sensors capture redundant data, leading to inefficient processing and increased energy expenditure.
  • Existing non-uniform sensing techniques aim to mitigate these issues.