Tessellation for wide angle foveated image with 4 regions based on overlapping circular receptive field mapping

Sota Shimizu, Nobuyuki Hasebe

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    As well-known, the human single eye has a horizontally approximately 120-degree wide FOV. Its FOV is wide, but only its central FOV has high visual acuity. Visual acuity in its peripheral FOV is very low. By changing its view line into a target, the human can observe it in detail by its central FOV and simultaneously can observe the whole of environment by its wide FOV. This means that the human eye performs a smart data acquisition, i.e., getting more detailed visual information with smaller data amount from environment by combining appropriate eye movements. WAFVS was investigated taking into account the above human eye's functionality. The most characterized point of WAFVS is of the resolution-variant input image data, i.e., this vision sensor gets a wide-angle image where spatial resolution is not uniform like the human visual acuity. Therefore, WAFVS can reduce image data hugely. This is a strong advantage when image data are transmitted and recorded in a storage device when the vision sensor is applied for remote operation. In this paper, a remapping method for WAFVS is proposed and implemented, i.e., tessellation for Wide Angle Foveated image with 4 regions based on overlapping circular RF mapping.

    Original languageEnglish
    Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
    PublisherIEEE Computer Society
    Pages6187-6192
    Number of pages6
    ISBN (Electronic)9781509034741
    DOIs
    Publication statusPublished - 2016 Dec 21
    Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
    Duration: 2016 Oct 242016 Oct 27

    Other

    Other42nd Conference of the Industrial Electronics Society, IECON 2016
    CountryItaly
    CityFlorence
    Period16/10/2416/10/27

    Fingerprint

    Eye movements
    Sensors
    Data acquisition

    Keywords

    • Multi-purpose use
    • Overlapping circular RF mapping
    • Space-variant resolution
    • Tessellation
    • Wide-angle fovea vision sensor
    • Wide-Angle Foveated image model with 4 regions

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Electrical and Electronic Engineering

    Cite this

    Shimizu, S., & Hasebe, N. (2016). Tessellation for wide angle foveated image with 4 regions based on overlapping circular receptive field mapping. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society (pp. 6187-6192). [7793888] IEEE Computer Society. https://doi.org/10.1109/IECON.2016.7793888

    Tessellation for wide angle foveated image with 4 regions based on overlapping circular receptive field mapping. / Shimizu, Sota; Hasebe, Nobuyuki.

    Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. p. 6187-6192 7793888.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Shimizu, S & Hasebe, N 2016, Tessellation for wide angle foveated image with 4 regions based on overlapping circular receptive field mapping. in Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society., 7793888, IEEE Computer Society, pp. 6187-6192, 42nd Conference of the Industrial Electronics Society, IECON 2016, Florence, Italy, 16/10/24. https://doi.org/10.1109/IECON.2016.7793888
    Shimizu S, Hasebe N. Tessellation for wide angle foveated image with 4 regions based on overlapping circular receptive field mapping. In Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society. 2016. p. 6187-6192. 7793888 https://doi.org/10.1109/IECON.2016.7793888
    Shimizu, Sota ; Hasebe, Nobuyuki. / Tessellation for wide angle foveated image with 4 regions based on overlapping circular receptive field mapping. Proceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society. IEEE Computer Society, 2016. pp. 6187-6192
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