人臉特徵自動抽取之演算法設計與應用

An automatic approach to extracting facial features

吳瑞珍(Jui-Chen Wu)

指導教授 ： 陳永盛

元智大學/工程學院/電機工程學系/碩士(2002年)

摘要

人臉特徵的自動抽取對於人臉辨識的應用扮演著相當重要的角色，在此篇論文之中，我們針對彩色半身照的單一人臉影像，提出了一個有系統的方法以解決自動抽取臉部特徵的問題。所提出之方法主要由以下三個部份所構成：人臉切割、五官定位與五官的特徵抽取。人臉切割是利用膚色色彩作切割；五官定位藉由眼睛的特徵、嘴巴的色彩及五官的比例來達成；而五官特徵抽取則以局部的影像提出不同的簡單可行方法將相對之特徵點抽取出來。實驗結果證實我們所提出方法的優越性和穩定性。最後並討論此方法的限制性以及未來的相關應用。

關鍵字

人臉辨識 ； 人臉切割 ； 五官定位 ； 臉部特徵

並列摘要

Automatic extraction of facial feature plays an important role on the application human face recognition. This thesis paper presents our method for automatically extracting facial features from a given image that consists of a head-and-shoulders view of the person and a complex background scene. Three main steps designed in our approach to extract facial features are face segmentation, location of facial feature region and extraction of facial feature. A skin-color face segmentation method is developed to segment face region. Eye feature, lip color and generalized face geometry and proportions are used to locate the desired regions containing facial features. The extraction of corresponding facial feature is based on different design method applied to the locate region. Experiments confirm the feasibility of the proposed approach, some phenomena observed from the results are discussed, the inherent limits of the approach are given, and some interesting and valuable problems are pointed out.

並列關鍵字

face recognition ； face segmentation ； facial feature location ； extraction of facial feature

參考文獻

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