A color-based approach to automatic face detection

S. L. Phung, A. Bouzerdoum, D. Chai, W. Kuczborski
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引用次数: 9

Abstract

We present a new approach to detecting quasi-frontal faces in color images. Our approach combines a color-based skin detection technique, a face candidate selection scheme using a geometric face model and color-based eye detection, and a face/nonface classification method based on the naive Bayes model. The proposed approach eliminates the computation-intensive step of window-scanning commonly adopted in holistic face detection approaches. With the proposed approach, we also address two important problems in face detection, namely coping with in-plane rotation and detecting faces of different sizes.
一种基于颜色的人脸自动检测方法
提出了一种检测彩色图像中准正面人脸的新方法。该方法结合了基于颜色的皮肤检测技术、基于几何人脸模型和基于颜色的眼睛检测的人脸候选选择方案,以及基于朴素贝叶斯模型的人脸/非人脸分类方法。该方法消除了整体人脸检测方法中通常采用的计算密集型的窗口扫描步骤。该方法还解决了人脸检测中的两个重要问题,即处理面内旋转和检测不同尺寸的人脸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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