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    • 1. 发明授权
    • Depth-aware blur kernel estimation method for iris deblurring
    • 用于虹膜脱模的深度感知模糊核估计方法
    • US09313460B2
    • 2016-04-12
    • US13525511
    • 2012-06-18
    • Liu RenXinyu HuangRuigang Yang
    • Liu RenXinyu HuangRuigang Yang
    • G06K9/00H04N7/18G06T5/00
    • H04N7/18G06K9/00604G06T5/003G06T2207/10016G06T2207/10028G06T2207/10048G06T2207/30201
    • Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.
    • 估计用于视觉虹膜识别的模糊核心分布包括确定相机透镜的对焦位置与透镜与其图像将被透镜捕获的虹膜之间的距离之间的第一数学关系。 估计透镜的聚焦位置与限定高斯模糊核分布的标准偏差之间的第二数学关系。 第一数学关系用于基于在该时刻的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个数学关系用于计算定义高斯模糊核分布的标准偏差。 通过使用由计算出的标准偏差定义的模糊核心分布,产生的图像被数字化。
    • 4. 发明申请
    • DEPTH-AWARE BLUR KERNEL ESTIMATION METHOD FOR IRIS DEBLURRING
    • 深度识别盲点估计方法
    • US20130147937A1
    • 2013-06-13
    • US13525511
    • 2012-06-18
    • Liu RenXinyu HuangRuigang Yang
    • Liu RenXinyu HuangRuigang Yang
    • H04N7/18
    • H04N7/18G06K9/00604G06T5/003G06T2207/10016G06T2207/10028G06T2207/10048G06T2207/30201
    • Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.
    • 估计用于视觉虹膜识别的模糊核心分布包括确定相机透镜的对焦位置与透镜与其图像将被透镜捕获的虹膜之间的距离之间的第一数学关系。 估计透镜的聚焦位置与限定高斯模糊核分布的标准偏差之间的第二数学关系。 第一数学关系用于基于在该时刻的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个数学关系用于计算定义高斯模糊核分布的标准偏差。 通过使用由计算出的标准偏差定义的模糊核心分布,产生的图像被数字化。
    • 5. 发明授权
    • Depth-aware blur kernel estimation method for iris deblurring
    • 用于虹膜脱模的深度感知模糊核估计方法
    • US08203602B2
    • 2012-06-19
    • US12367069
    • 2009-02-06
    • Liu RenXinyu HuangRuigang Yang
    • Liu RenXinyu HuangRuigang Yang
    • G06K9/00
    • H04N7/18G06K9/00604G06T5/003G06T2207/10016G06T2207/10028G06T2207/10048G06T2207/30201
    • A method of estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. The first relationship is used to estimate a second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution. A position of an eye of a living being at a future point in time is predicted. A focus position of the camera lens is adjusted based upon the predicted position of the eye. The camera lens with the adjusted focus position is used to produce an image of the living being's eye at the point in time. An actual position of the living being's eye at the point in time is sensed. The first relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The calculating is based upon a difference between the adjusted focus position and the desired focus position of the lens.
    • 估计用于视觉虹膜识别的模糊核分布的方法包括确定相机透镜的对焦位置与透镜与其图像将由透镜捕获的光圈之间的距离之间的第一数学关系。 第一关系用于估计透镜的聚焦位置与定义高斯模糊核分布的标准偏差之间的第二数学关系。 预测未来时期生活的眼睛的位置。 基于预测的眼睛位置来调整照相机镜头的对焦位置。 具有调整对焦位置的相机镜头用于在时间点上产生生命眼睛的图像。 感觉到生活在眼前的实际位置。 第一关系用于基于在该时间点的生命的眼睛的实际位置来确定镜片的期望的焦点位置。 第二个关系用于计算定义高斯模糊核分布的标准偏差。 该计算基于调整后的焦点位置与镜片的期望对焦位置之间的差异。