Memory-efficient computation of high-dimensional integral images

Kohei Inoue, Hara Kenji, Kiichi Urahama

    Research output: Contribution to conferencePaperpeer-review

    Abstract

    We propose a memory-efficient method for computing high-dimensional integral images. The proposed method generates exactly the same integral images as that generated by the conventional method, while using less memory. Experimental results show the effectiveness of the proposed method.

    Original languageEnglish
    Pages707-711
    Number of pages5
    DOIs
    Publication statusPublished - Jan 1 2013
    Event2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013 - Naha, Okinawa, Japan
    Duration: Nov 5 2013Nov 8 2013

    Other

    Other2013 2nd IAPR Asian Conference on Pattern Recognition, ACPR 2013
    Country/TerritoryJapan
    CityNaha, Okinawa
    Period11/5/1311/8/13

    All Science Journal Classification (ASJC) codes

    • Computer Vision and Pattern Recognition

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