Framework for Image Sensor Design Parameter Optimization for Pupil Detection

Gernot Fiala, Zhenyu Ye, Christian Steger

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-review

Abstract

Machine vision systems (MVS) use image sensors to process and analyze image data. Depending on the application, the image sensor parameters are configured differently. However, some parameters are fixed for a specific product generation or product line. One of these parameters is the pixel pitch, the distance from one physical pixel to another. In this work, we introduce a framework, which allows to optimize design parameters of image sensors for pupil detection. We compare 2 different image sensor models with different pixel designs and generate images with different bit depths and resolutions. An evaluation of the design parameters is done with the generated images and a pupil detection algorithm. Furthermore, an existing pupil detection dataset is extended.
Original languageEnglish
Title of host publicationICSAI 2022 - 8th International Conference on Systems and Informatics
EditorsShaowen Yao, Zhenli He, Zheng Xiao, Wanqing Tu, Kenli Li, Lipo Wang
PublisherIEEE Xplore
Pages1 - 6
Number of pages6
ISBN (Electronic)978-1-6654-7448-1
ISBN (Print)978-1-6654-7449-8
DOIs
Publication statusPublished - 2022
Event2022 8th International Conference on Systems and Informatics: ICSAI 2022 - Kunming, China
Duration: 10 Dec 202212 Dec 2022
http://icsai.sei.ynu.edu.cn/

Publication series

NameICSAI 2022 - 8th International Conference on Systems and Informatics

Conference

Conference2022 8th International Conference on Systems and Informatics
Abbreviated titleICSAI 2022
Country/TerritoryChina
CityKunming
Period10/12/2212/12/22
Internet address

Keywords

  • bit depth
  • design parameter optimization
  • image sensor
  • pixel pitch
  • pupil detection

ASJC Scopus subject areas

  • Information Systems and Management
  • Information Systems
  • Instrumentation
  • Health Informatics
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)
  • Experimental

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