論文

査読有り 筆頭著者 責任著者
2016年6月

Basic Construction of a Natural Finger Outline Extraction System with a Color Glove

2016 IEEE/ACIS 15TH INTERNATIONAL CONFERENCE ON COMPUTER AND INFORMATION SCIENCE (ICIS)
  • Noriaki Fujishima
  • ,
  • Tatsuhiro Ietsuka

開始ページ
397
終了ページ
402
記述言語
英語
掲載種別
研究論文(国際会議プロシーディングス)
DOI
10.1109/ICIS.2016.7550791
出版者・発行元
IEEE COMPUTER SOC

The authors have created a new color glove which has markers between the fingers and the palm or dorsal area, and have developed methods to eliminate border outlines caused between colored regions to make a natural finger outline extraction system. The authors select 6 colors used for markers and the positions of them. In the elimination process, outlines of marker regions' border are extracted. Elimination regions are created by delating these outlines from 1 pixel to 15 pixels. An image including only border outlines are created by AND operation of an image including only elimination regions and an image including only finger outlines. The authors investigated the relationship between wrist rotation angles and success rate of elimination of border outlines. Success rate of elimination was about 80% or more except when wrist rotation angles were -30, -20, or -10 degrees. The average was 84.6%. Through these experiments, the proposed method has indicated one way to solve the border outline problems with the color glove. Besides, this has created a problem that parts of finger outlines are often eliminated. In the discussion section, the authors show one way to solve this problem. Concerned with this section, the authors conclude that the proposed color glove and method are effective for basic construction of the natural finger outline extraction system with the color glove.

リンク情報
DOI
https://doi.org/10.1109/ICIS.2016.7550791
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000389539100066&DestApp=WOS_CPL
ID情報
  • DOI : 10.1109/ICIS.2016.7550791
  • Web of Science ID : WOS:000389539100066

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