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Research on Preventing Unauthorized Face Image Detection

Research Project

Project/Area Number 26540048
Research Category

Grant-in-Aid for Challenging Exploratory Research

Allocation TypeMulti-year Fund
Research Field Multimedia database
Research InstitutionNational Institute of Informatics

Principal Investigator

Echizen Isao  国立情報学研究所, コンテンツ科学研究系, 教授 (30462188)

Project Period (FY) 2014-04-01 – 2016-03-31
Project Status Completed (Fiscal Year 2015)
Budget Amount *help
¥3,250,000 (Direct Cost: ¥2,500,000、Indirect Cost: ¥750,000)
Fiscal Year 2015: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2014: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Keywordsプライバシー保護 / 顔認識
Outline of Final Research Achievements

A method is proposed for preventing unauthorized face image revelation through unintentional capture of facial images. Methods such as covering the face and painting particular patterns on the face effectively prevent detection of facial images but hinder face-to-face communication. The proposed method overcomes this problem through the use of a device worn on the face that corrupts the Haar-like features through the use of light absorbing materials, which makes faces in captured images mostly undetectable. The device is similar in appearance to a pair of eyeglasses, so face-to-face communication is only slightly hindered, and it does not need a power supply. Testing of a prototype “PrivacyVisor” showed that captured facial images are sufficiently corrupted to prevent unauthorized face image revelation by face detection.

Report

(3 results)
  • 2015 Annual Research Report   Final Research Report ( PDF )
  • 2014 Research-status Report
  • Research Products

    (2 results)

All 2015 2014

All Journal Article (2 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 2 results)

  • [Journal Article] Smart Privacy Visor: Bridging the Privacy Gap2015

    • Author(s)
      A. Dabrowski, K. Krombholz, E. Weippl, and I. Echizen
    • Journal Title

      Business Information Systems Workshops

      Volume: 228 Pages: 235-247

    • DOI

      10.1007/978-3-319-26762-3_21

    • ISBN
      9783319267616, 9783319267623
    • Related Report
      2015 Annual Research Report
    • Peer Reviewed / Int'l Joint Research
  • [Journal Article] 光の反射・吸収特性を利用した撮影画像からの顔検出防止手法2014

    • Author(s)
      山田隆行,合志清一,越前 功
    • Journal Title

      情報処理学会論文誌

      Volume: 55 Pages: 2104-2119

    • NAID

      110009822850

    • Related Report
      2014 Research-status Report
    • Peer Reviewed

URL: 

Published: 2014-04-04   Modified: 2017-05-10  

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