SBIR Phase I: 3D Modeling Facial Aging Effect for Enhancing Facial Recognition Performance

SBIR 第一阶段：3D 建模面部老化效应以增强面部识别性能

• 批准号: 0338951
• 负责人: Pan Gao
• 金额: $ 10万
• 依托单位: GENEX TECHNOLOGIES INC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-01-01 至 2004-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0338951&HistoricalAwards=false
• 关键词: SBIR; Phase; 3D; Modeling; Facial

This Small Business Innovation Research Phase I research project will develop a novel three-dimensional facial modeling approach to simulate the facial aging effect of human subjects for enhancing facial recognition performance. Despite many advances made in facial recognition technologies, existing system performance is still very sensitive to certain changes between the enrollment image and probe images. These factors include pose, lighting, and expression. The recent Facial Recognition Vendor Tests (FRVT) 2002 performed by 16 US Government agencies quantitatively document another important factor: It shows a 5% drop of performance per year due to the facial changes between the time when a subject's image is taken and the time when the system captures a new image and performs recognition. The SBIR proposal will develop a unique 3D face modeling and computerized age progression/regression technique to solve this problem.This unique technology, when fully developed, is able to eliminate performance deterioration due to aged images in the database and enable robust, field deployments of facial recognition systems in real-world applications.The proposed product could have a big impact with Homeland Security as well other security related applications. Local, federal and international law enforcement groups will benefit from being able to identify people they have not "seen" in a long period of time.

这项小型企业创新研究第一期研究项目将开发一种新颖的三维面部建模方法，以模拟人类受试者的面部老化效应，以提高面部识别性能。尽管面部识别技术取得了许多进步，但现有系统性能对登记图像和探测图像之间的某些变化仍然非常敏感。这些因素包括姿势、灯光和表情。最近的面部识别供应商测试（FRVT）2002年由16个美国政府机构进行定量文件的另一个重要因素：它显示了5%的性能下降，每年由于面部变化之间的时间，当一个主题的图像拍摄时，当系统捕获一个新的图像和执行识别的时间。SBIR提案将开发一种独特的3D人脸建模和计算机化的年龄增长/回归技术来解决这个问题。这种独特的技术，当充分开发时，能够消除由于数据库中的老化图像而导致的性能下降，面部识别系统在真实的领域的部署-世界应用。拟议的产品可能会有很大的影响与国土安全以及其他安全相关的应用。地方、联邦和国际执法团体将受益于能够识别他们很长一段时间没有“见过”的人。