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    MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION
    1.
    发明申请
    MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION 审中-公开

    公开(公告)号：US20160019420A1

    公开(公告)日：2016-01-21

    申请号：US14332279

    申请日：2014-07-15

    Applicant: QUALCOMM Incorporated

    Inventor： Chen Feng ,  Xiaopeng Zhang ,  Shaojie Zhuo ,  Liang Shen ,  Tao Sheng ,  Alwyn Dos Remedios

    IPC: G06K9/00

    CPC classification number: G06K9/00604 ,  G06K9/00597 ,  G06K9/0061 ,  G06K9/00617 ,  G06K9/00899 ,  G06K9/00906

    Abstract: Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.

    MULTI-SPECTRAL IMAGING SYSTEM FOR SHADOW DETECTION AND ATTENUATION
    2.
    发明申请
    MULTI-SPECTRAL IMAGING SYSTEM FOR SHADOW DETECTION AND ATTENUATION 审中-公开
    用于阴影检测和衰减的多光谱成像系统

    公开(公告)号：US20140240477A1

    公开(公告)日：2014-08-28

    申请号：US13777968

    申请日：2013-02-26

    Applicant: QUALCOMM INCORPORATED

    Inventor： Chen Feng ,  Xiaopeng Zhang ,  Liang Shen ,  Shaojie Zhuo

    IPC: H04N5/217

    CPC classification number: H04N5/217 ,  G06T5/008 ,  G06T5/50 ,  G06T2207/10048 ,  G06T2207/30196

    Abstract: Systems and methods for detecting and attenuating shadows in a visible light image are disclosed. In various embodiments, shadows on human skin may be detected and attenuated using multi-spectral imaging techniques. Multispectral image data that includes a living subject can be processed to detect live-subject portions of the multispectral image data. Shadows in the detected live-subject portions of the multispectral image data can be identified. The identified shadows in at least part of the multispectral image data can be attenuated.

    Abstract translation: 公开了用于检测和衰减可见光图像中的阴影的系统和方法。 在各种实施例中，可以使用多光谱成像技术检测和衰减人皮肤上的阴影。 可以处理包括活体的多光谱图像数据，以检测多光谱图像数据的实时对象部分。 可以识别多光谱图像数据的检测到的实时对象部分中的阴影。 至少部分多光谱图像数据中识别的阴影可以被衰减。

    MULTISPECTRAL IMAGING SYSTEM
    3.
    发明申请
    MULTISPECTRAL IMAGING SYSTEM 有权
    多重成像系统

    公开(公告)号：US20130250123A1

    公开(公告)日：2013-09-26

    申请号：US13663897

    申请日：2012-10-30

    Applicant: QUALCOMM INCORPORATED

    Inventor： Xiaopeng Zhang ,  Gang Qiu ,  Jilai Wang ,  Xiaoming Zhou ,  Liang Shen ,  Milivoje Aleksic ,  Sundeep Vaddadi ,  Shaojie Zhou

    IPC: H04N5/33

    CPC classification number: H04N5/332 ,  G06T7/33 ,  G06T2207/10048

    Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to improve alignment between the NIR and visible images. Once the NIR and visible images are aligned, various types of multispectral processing techniques can be performed on the aligned images.

    Abstract translation: 公开了用于多光谱成像的系统和方法。 多光谱成像系统可以包括近红外（NIR）成像传感器和可见成像传感器。 所公开的系统和方法可以被实现以改善近红外和可见光图像之间的对准。 一旦NIR和可见图像对准，可以对对准的图像执行各种类型的多光谱处理技术。

    MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION
    9.
    发明申请
    MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION 审中-公开
    用于身份认证的多目标眼睛分析

    公开(公告)号：US20160019421A1

    公开(公告)日：2016-01-21

    申请号：US14332281

    申请日：2014-07-15

    Applicant: QUALCOMM Incorporated

    Inventor： Chen Feng ,  Xiaopeng Zhang ,  Shaojie Zhuo ,  Liang Shen ,  Tao Sheng ,  Alwyn Dos Remedios

    IPC: G06K9/00

    CPC classification number: G06K9/00604 ,  G06K9/00597 ,  G06K9/0061 ,  G06K9/00617 ,  G06K9/00899 ,  G06K9/00906

    Abstract: Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.

    Abstract translation: 某些方面涉及用于生成高分辨率虹膜模板和检测欺骗的系统和技术，从而实现更可靠和安全的虹膜认证。 可以通过虹膜认证系统捕获一对RGB和NIR图像，以用于虹膜认证，例如使用NIR LED闪光灯和四通道图像传感器。 用户的虹膜的多个图像可以在相对较短的时间段内被系统捕获，并且可以融合在一起以产生高分辨率的虹膜图像，该图像可以包含比各个图像更多的虹膜结构和唯一图案的细节。 虹膜的“活性”是指虹膜是否是真正的人造虹膜或虹膜模仿，可以通过基于在各种波长的已知虹膜和巩膜反射特性的比较来确定传感器响应的活性比来评估 波长。

    Near infrared guided image denoising
    10.
    发明授权
    Near infrared guided image denoising 有权
    近红外引导图像去噪

    公开(公告)号：US09171355B2

    公开(公告)日：2015-10-27

    申请号：US14151589

    申请日：2014-01-09

    Applicant: QUALCOMM Incorporated

    Inventor： Shaojie Zhuo ,  Xiaopeng Zhang ,  Chen Feng ,  Liang Shen ,  Jiaya Jia

    IPC: G06K9/40 ,  G06T5/00 ,  G06T5/50 ,  G06T7/00

    CPC classification number: G06T5/002 ,  G06T5/50 ,  G06T7/70 ,  G06T2200/21 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/10048 ,  G06T2207/20012 ,  G06T2207/20192

    Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to de-noise a visible light image using a gradient scale map generated from gradient vectors in the visible light image and a NIR image. The gradient scale map may be used to determine the amount of de-noising guidance applied from the NIR image to the visible light image on a pixel-by-pixel basis.

    Abstract translation: 公开了用于多光谱成像的系统和方法。 多光谱成像系统可以包括近红外（NIR）成像传感器和可见成像传感器。 可以实现所公开的系统和方法，以使用从可见光图像和NIR图像中的梯度向量生成的梯度刻度图来对可见光图像进行去噪。 可以使用梯度比例图来确定逐像素地从NIR图像施加到可见光图像的去噪引导量。

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