research-article

Tracking the gaze on objects in 3D: how do people really look at the bunny?

Authors:

Sebastian Koch,

Kenneth Holmqvist,

Marc AlexaAuthors Info & Claims

ACM Transactions on Graphics (TOG), Volume 37, Issue 6

Article No.: 188, Pages 1 - 18

https://doi.org/10.1145/3272127.3275094

Published: 04 December 2018 Publication History

Abstract

We provide the first large dataset of human fixations on physical 3D objects presented in varying viewing conditions and made of different materials. Our experimental setup is carefully designed to allow for accurate calibration and measurement. We estimate a mapping from the pair of pupil positions to 3D coordinates in space and register the presented shape with the eye tracking setup. By modeling the fixated positions on 3D shapes as a probability distribution, we analysis the similarities among different conditions. The resulting data indicates that salient features depend on the viewing direction. Stable features across different viewing directions seem to be connected to semantically meaningful parts. We also show that it is possible to estimate the gaze density maps from view dependent data. The dataset provides the necessary ground truth data for computational models of human perception in 3D.

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Wang YDai QBâce MKlein KBulling A(2024)Saliency3D: A 3D Saliency Dataset Collected on ScreenProceedings of the 2024 Symposium on Eye Tracking Research and Applications10.1145/3649902.3653350(1-6)Online publication date: 4-Jun-2024
https://dl.acm.org/doi/10.1145/3649902.3653350
Ding XChen ZLin WChen Z(2024)Towards 3D Colored Mesh Saliency: Database and BenchmarksIEEE Transactions on Multimedia10.1109/TMM.2023.331292426(3580-3591)Online publication date: 2024
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Index Terms

Tracking the gaze on objects in 3D: how do people really look at the bunny?
1. Computing methodologies
  1. Computer graphics
    1. Shape modeling
      1. Shape analysis

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cover image ACM Transactions on Graphics

ACM Transactions on Graphics Volume 37, Issue 6

December 2018

1401 pages

ISSN:0730-0301

EISSN:1557-7368

DOI:10.1145/3272127

Editor:
Takeo Igarashi
The University of Tokyo, Japan

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Published: 04 December 2018

Published in TOG Volume 37, Issue 6

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