色情報と等濃線分布に基づいた顔画像による人物識別方式

概要

論文の詳細を見る
We have proposed a facial identification system based on isodensity maps and human-face extraction using modified HSV color system, and the effectiveness of this method has been confirmed. In the conventional system, however, if the object whose color is the same as human skin exists in the background, the extraction of human face has sometimes filed. In this paper, an algorithm by which the candidate areas of persons are merged using hue and Quasi-chroma information is described. Experimental results of personal identification system using isodensity maps are also described. From the experimental results, an 95.0% extraction accuracy for 40 pictures has been obtained. And a 99.9% identification accuracy for 110 same person pairs and 11990 different person pairs has been obtained.
社団法人映像情報メディア学会の論文
1996-07-16