SBIR Phase I: Robust, Intelligent and Practical Face Recognition Based on Optical Joint Transform Correlation and Neural Networks

SBIR第一期：基于光学联合变换相关和神经网络的鲁棒、智能、实用的人脸识别

• 批准号: 9761141
• 负责人: Dai Hyun Kim
• 金额: $ 10万
• 依托单位: Physical Optics Corporation (Corporate Headquarters)
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1998
• 资助国家: 美国
• 起止时间: 1998-01-01 至 1998-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9761141&HistoricalAwards=false
• 关键词: SBIR; Phase; Robust; Intelligent; Practical

9761141 Kim This Small Business Innovation Research (SBIR) Phase I project will develop an optoelectronic face recognition system, in which problems associated with traditional systems such as invariant recognition multi-stage operation, system complexity, high cost and large data storage capacity requirements will be overcome using a neural network-embedded optical joint transform correlator (JTC). This unique combination of neural networks and JTC will be invariant to facial expression, facial hair, head position, camera scale and lighting, and can be used in a variety of security applications including access control systems, personal identification systems and other bio-metric-signature based security systems.

这个小企业创新研究（SBIR）一期项目将开发一个光电人脸识别系统，该系统将使用神经网络嵌入式光学联合变换相关器（JTC）克服与传统系统相关的问题，如不变识别多阶段操作、系统复杂性、高成本和大数据存储容量要求。这种神经网络和JTC的独特组合将不受面部表情、面部毛发、头部位置、相机比例和照明的影响，并可用于各种安全应用，包括门禁系统、个人识别系统和其他基于生物特征签名的安全系统。