ITR: 3D Face Authentication for Biometric Access Control

ITR：用于生物识别访问控制的 3D 人脸身份验证

• 批准号: 0312849
• 负责人: Anshuman Razdan
• 金额: $ 31.7万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-08-15 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312849&HistoricalAwards=false
• 关键词: ITR; 3D; Face; Authentication; Biometric

Biometric Access Control uses quantative anatomical, physiological or behavioral traits to automatically and accurately verify the identity of an individual. The goal is to control or restrict acces to appropriate individuals. Accuracy and reliabilty requirements are high, and today, such systems play an increasingly important role in authentication and authorization of individuals. Face recognition has long been regarded as anideal biometric resource, but the complexity of analysis and comparison of facial characteristics has limited successful application of 2D and other current techniques in this domain. Typical 2D applications currently in use have high error rates and are hampered by variations such as lighting and orientation.This project will develop and apply true 3D spatial analysis tools and techniques to acurately recognize and compare distinct 3D facial features.. In addition, we will create, maintain, and distribute via the web, a 3D digital library of 1,000 face type examples to test algorythms, and develop initial standards for true 3D facial comparison. The result will be algorythms to quickly and accurately recognize distinctive facial features, and to viably recognize and authenticate indivuals against the database.

生物识别访问控制使用定量的解剖、生理或行为特征来自动和准确地验证个人的身份。其目标是控制或限制对适当个人的访问。准确性和可靠性要求很高，如今，这样的系统在个人身份验证和授权方面发挥着越来越重要的作用。人脸识别一直被认为是一种理想的生物识别资源，但人脸特征分析和比较的复杂性限制了2D和其他现有技术在该领域的成功应用。目前使用的典型2D应用程序具有很高的错误率，并且受到照明和定位等变化的阻碍。该项目将开发和应用真正的3D空间分析工具和技术，以准确识别和比较不同的3D面部特征。此外，我们将通过网络创建、维护和分发一个包含1,000个人脸类型样本的3D数字库，以测试算法节奏，并开发真正的3D人脸比较的初始标准。其结果将是快速准确地识别独特的面部特征，并根据数据库直观地识别和验证个人的算法。