COMPUTATIONAL MODEL OF DEPTH PERCEPTION BASED ON FIXATIONAL EYE MOVEMENTS

Norio Tagawa, Todorka Alexandrova

2010

Abstract

Small vibration of eye ball, which occurs when we fix our gaze on object, is called ``fixational eye movement.'' It has been reported that this function works also as a clue to monocular depth perception. Moreover, researches for a depth recovery method using camera motions based on an analogy of fixational eye movement are in progress. We suppose that depth perception with fixational eye movement is firstly carried out, and subsequently such depth information is supplementary used for binocular stereopsis. Especially in this study, using camera motions corresponding to the smallest type of fixational eye movement called ``tremor,'' we construct depth perception algorithm which models camera motion as a irregular perturbation, and confirm its effectiveness.

References

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Paper Citation


in Harvard Style

Tagawa N. and Alexandrova T. (2010). COMPUTATIONAL MODEL OF DEPTH PERCEPTION BASED ON FIXATIONAL EYE MOVEMENTS . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 328-333. DOI: 10.5220/0002829203280333


in Bibtex Style

@conference{visapp10,
author={Norio Tagawa and Todorka Alexandrova},
title={COMPUTATIONAL MODEL OF DEPTH PERCEPTION BASED ON FIXATIONAL EYE MOVEMENTS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={328-333},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002829203280333},
isbn={978-989-674-028-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - COMPUTATIONAL MODEL OF DEPTH PERCEPTION BASED ON FIXATIONAL EYE MOVEMENTS
SN - 978-989-674-028-3
AU - Tagawa N.
AU - Alexandrova T.
PY - 2010
SP - 328
EP - 333
DO - 10.5220/0002829203280333