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3D Saliency from Eye Tracking with Tomography

  • Bo MaEmail author
  • Eakta Jain
  • Alireza Entezari
Conference paper
Part of the Mathematics and Visualization book series (MATHVISUAL)

Abstract

This paper presents a method to build a saliency map in a volumetric dataset using 3D eye tracking. Our approach acquires the saliency information from multiple views of a 3D dataset with an eye tracker and constructs the 3D saliency volume from the gathered 2D saliency information using a tomographic reconstruction algorithm. Our experiments, on a number of datasets, show the effectiveness of our approach in identifying salient 3D features that attract user’s attention. The obtained 3D saliency volume provides importance information and can be used in various applications such as illustrative visualization.

Keywords

Filter Back Projection Saliency Region Back Projection Saliency Information Direct Volume Rendering 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

This work was supported in part by the Office of Naval Research (N00014-16-1-2228) and US National Science Foundation (NSF IIS-1617101). The datasets are courtesy of the volvis community and OsiriX Foundation.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.University of FloridaGainesvilleUSA

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