Human Face Detection via Characterized Convex Regional Relationship in Color Images

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概要

• 論文の詳細を見る

• In this letter, we propose a new method to detect faces in color images based on the characterized convex regional relationship. We detect skin and hair likeness regions using the derived skin and hair color models and the convex skin likeness and hair likeness regions are adopted as the characteristic convex regions. Finally, human faces can be detected via their intersection relationship. The proposed algorithm can accomplish face detection in an image including not only single face but also multi-faces and also detect deformed faces efficiently. To validity the effectiveness of the proposed method, we make experiments with various cases.

• 社団法人電子情報通信学会の論文
• 2003-04-01

著者

• Park Mignon

  Department Of Electrical And Electronic Eng. Yonsei University

• Park Mignon

  Department Of Electrical And Electronic Engineering Yonsei University

• Park Chang-woo

  Precision Machinery Research Center Korea Electronics Technology Institute

• KIM Euntai

  Department of Electrical and Electronic Engineering,Yonsei University

• Kim Euntai

  Department Of Electrical And Electronic Eng. Yonsei University

• Kim Euntai

  Department Of Electrical And Electronic Engineering Yonsei University

関連論文

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