Face Detection and Localization in Color Images: An Efficient Neural Approach

• 作者: Ayoub Al-Hamadi Bernd Michaelis Samy Sadek Usama Sayed
• 来源期刊: 软件工程与应用(英文)
• 学科: 工学
• 关键词: Human FACE Detection and LOCALIZATION SPLINE Activation Function COLOR MOMENTS Human-Computer Interaction
• 年，卷（期）: 2011,（12）
• 页码范围: 682-687
• 页数: 6页
• 分类号: TP39

摘要

Automatic face detection and localization is a key problem in many computer vision tasks. In this paper, a simple yet effective approach for detecting and locating human faces in color images is proposed. The contribution of this paper is twofold. First, a particular reference to face detection techniques along with a background to neural networks is given. Second, and maybe most importantly, an adaptive cubic-spline neural network is designed to be used to detect and locate human faces in uncontrolled environments. The experimental results conducted on our test set show the effectiveness of the proposed approach and it can compare favorably with other state-of-the-art approaches in the literature.