公开(公告)号：US20080279426A1

公开(公告)日：2008-11-13

申请号：US12115905

申请日：2008-05-06

申请人： Hyun-Soo KIM ,  Je-Han Yoon ,  Ji-Hyo Lee ,  Jae-Yeon Lee ,  Su-Young Chi ,  Woo-Han Yun

发明人： Hyun-Soo KIM ,  Je-Han Yoon ,  Ji-Hyo Lee ,  Jae-Yeon Lee ,  Su-Young Chi ,  Woo-Han Yun

IPC分类号： G06K9/00

CPC分类号： G06K9/00275 ,  G06K9/00288 ,  G06K9/6255 ,  G06K9/6277

摘要： A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.

摘要翻译： 提供了一种用于使用光掩模验证用户的脸部的系统和方法。 该系统包括面部特征提取单元，用于从从相机接收的面部图像中提取面部特征向量。 非用户高斯混合模型（GMM）配置单元从存储在非用户数据库（DB）中的面部图像生成非用户GMM。 用户GMM配置单元通过将光掩模应用于存储在用户DB中的面部图像来生成用户GMM。 对数似然值计算单元将面部特征向量输入到非用户GMM和用户GMM，从而计算对数似然值。 用户验证单元将所计算的对数似然值与预定阈值进行比较，从而验证所接收的面部图像是否是用户的面部图像。

公开(公告)号：US08116538B2

公开(公告)日：2012-02-14

申请号：US12115905

申请日：2008-05-06

申请人： Hyun-Soo Kim ,  Je-Han Yoon ,  Ji-Hyo Lee ,  Jae-Yeon Lee ,  Su-Young Chi ,  Woo-Han Yun

发明人： Hyun-Soo Kim ,  Je-Han Yoon ,  Ji-Hyo Lee ,  Jae-Yeon Lee ,  Su-Young Chi ,  Woo-Han Yun

IPC分类号： G06K9/00 ,  G06K9/62 ,  G06K9/46 ,  G06F21/00

CPC分类号： G06K9/00275 ,  G06K9/00288 ,  G06K9/6255 ,  G06K9/6277

摘要： A system and method for verifying the face of a user using a light mask are provided. The system includes a facial feature extraction unit for extracting a facial feature vector from a facial image received from a camera. A non-user Gaussian Mixture Model (GMM) configuration unit generates a non-user GMM from a facial image stored in a non-user database (DB). A user GMM configuration unit generates a user GMM by applying light masks to a facial image stored in a user DB. A log-likelihood value calculation unit inputs the facial feature vector both to the non-user GMM and to the user GMM, thus calculating log-likelihood values. A user verification unit compares the calculated log-likelihood values with a predetermined threshold, thus verifying whether the received facial image is a facial image of the user.

摘要翻译： 提供了一种用于使用光掩模验证用户的脸部的系统和方法。 该系统包括面部特征提取单元，用于从从相机接收的面部图像中提取面部特征向量。 非用户高斯混合模型（GMM）配置单元从存储在非用户数据库（DB）中的面部图像生成非用户GMM。 用户GMM配置单元通过将光掩模应用于存储在用户DB中的面部图像来生成用户GMM。 对数似然值计算单元将面部特征向量输入到非用户GMM和用户GMM，从而计算对数似然值。 用户验证单元将所计算的对数似然值与预定阈值进行比较，从而验证所接收的面部图像是否是用户的面部图像。

公开(公告)号：US08135220B2

公开(公告)日：2012-03-13

申请号：US12115250

申请日：2008-05-05

申请人： Hyun-Soo Kim ,  Je-Han Yoon ,  Hyun-Sik Shim ,  Young-Hee Park ,  Do-Hyung Kim ,  Woo-Han Yun

发明人： Hyun-Soo Kim ,  Je-Han Yoon ,  Hyun-Sik Shim ,  Young-Hee Park ,  Do-Hyung Kim ,  Woo-Han Yun

IPC分类号： G06K9/62 ,  G06K9/00

CPC分类号： G06K9/00295

摘要： A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.

摘要翻译： 基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人物的特定人物检测和跟踪单元。 面部特征提取单元从检测到和跟踪的特定人物中提取多个面部特征向量。 面部识别单元通过将提取的面部特征向量与先前存储在用户登记模型数据库中的登记模型的面部特征向量进行比较来搜索给定的登记模型。 学习目标选择单元从所提取的面部特征向量中选择要添加到给定登记模型的记录的面部特征向量。 注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。

公开(公告)号：US20080273766A1

公开(公告)日：2008-11-06

申请号：US12115250

申请日：2008-05-05

申请人： Hyun-Soo Kim ,  Je-Han Yoon ,  Hyun-Sik Shim ,  Young-Hee Park ,  Do-Hyung Kim ,  Woo-Han Yun

发明人： Hyun-Soo Kim ,  Je-Han Yoon ,  Hyun-Sik Shim ,  Young-Hee Park ,  Do-Hyung Kim ,  Woo-Han Yun

IPC分类号： G06K9/00

CPC分类号： G06K9/00295

摘要： A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model database. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.

摘要翻译： 基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人物的特定人物检测和跟踪单元。 面部特征提取单元从检测到和跟踪的特定人物中提取多个面部特征向量。 面部识别单元通过将提取的面部特征向量与先前存储在用户登记模型数据库中的登记模型的面部特征向量进行比较来搜索给定的登记模型。 学习目标选择单元从所提取的面部特征向量中选择要添加到给定登记模型的记录的面部特征向量。 注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。