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Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract

Published:16 November 2020Publication History

ABSTRACT

As a preliminary step to improve the accuracy of ROI (Region of Interest) based on human visual characteristics, we measured and analyzed the eye movements when looking at paintings. We assumed that there was regularity in viewers' eye movement when looking at a world-renowned painting. This time, we introduce our experimental method, and compare for gaze points distributions and saliency map.

References

  1. Hiroyuki Uchida: "Basics of Structure Learned by Masters: Why Masterpieces are Masterpieces", pp.4--13, Visual Design Laboratory Inc. (2009)Google ScholarGoogle Scholar
  2. Norton D, Stark L, "Eye movement and visual perception", Scientific American, 224, June, pp.35--43 (1971)Google ScholarGoogle Scholar
  3. Itti, Koch, and Niebur, "A Model of Saliency-Based Visual Attention for Rapid Scene Analysis," PAMI, vol.20, No. 11, 1998.Google ScholarGoogle Scholar

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  1. Analysis of gaze points when looking at paintings and saliency map to improve the accuracy of ROI (region of interest): demo abstract

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    • Published in

      cover image ACM Conferences
      SenSys '20: Proceedings of the 18th Conference on Embedded Networked Sensor Systems
      November 2020
      852 pages
      ISBN:9781450375900
      DOI:10.1145/3384419

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 16 November 2020

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