Robust and efficient learning object tracker
    2.
    发明授权
    Robust and efficient learning object tracker 有权
    健壮高效的学习对象追踪器

    公开(公告)号:US09141196B2

    公开(公告)日:2015-09-22

    申请号:US13797579

    申请日:2013-03-12

    Abstract: This disclosure presents methods, systems, computer-readable media, and apparatuses for optically tracking the location of one or more objects. The techniques may involve accumulation of initial image data, establishment of a dataset library containing image features, and tracking using a plurality of modules or trackers, for example an optical flow module, decision forest module, and color tracking module. Tracking outputs from the optical flow, decision forest and/or color tracking modules are synthesized to provide a final tracking output. The dataset library may be updated in the process.

    Abstract translation: 本公开提供了用于光学跟踪一个或多个对象的位置的方法,系统,计算机可读介质和装置。 这些技术可以包括初始图像数据的累积,包含图像特征的数据集库的建立以及使用多个模块或跟踪器(例如光流模块,决策林模块和颜色跟踪模块)的跟踪。 来自光流,决策树和/或颜色跟踪模块的跟踪输出被合成以提供最终跟踪输出。 数据集库可能会在此过程中更新。

    FINGERPRINT ENROLLMENT AND MATCHING WITH ORIENTATION SENSOR INPUT
    4.
    发明申请
    FINGERPRINT ENROLLMENT AND MATCHING WITH ORIENTATION SENSOR INPUT 审中-公开
    指向输入和指向传感器输入的匹配

    公开(公告)号:US20170076132A1

    公开(公告)日:2017-03-16

    申请号:US15262617

    申请日:2016-09-12

    Abstract: Techniques for associating environmental information with fingerprint images for fingerprint enrollment and matching are presented. The techniques may include capturing, using a fingerprint sensor of a mobile device, one or more images of a fingerprint. The techniques may include analyzing the one or more images to obtain fingerprint information associated with the fingerprint. The techniques may include obtaining, via an orientation sensor of the mobile device, environmental information indicating an orientation of the mobile device associated with the capturing of the one or more images. The techniques may additionally include generating, using the fingerprint information, an enrollment template for the fingerprint. The techniques may include associating the enrollment template with the environmental information. The techniques may include storing the enrollment template and the environmental information in a memory of the device, wherein the stored enrollment template is associated with the environmental information.

    Abstract translation: 提出了将环境信息与指纹图像相关联的技术,用于指纹注册和匹配。 这些技术可以包括使用移动设备的指纹传感器捕获指纹的一个或多个图像。 这些技术可以包括分析一个或多个图像以获得与指纹相关联的指纹信息。 技术可以包括通过移动设备的定向传感器获得指示与一个或多个图像的捕获相关联的移动设备的取向的环境信息。 这些技术可以另外包括使用指纹信息生成用于指纹的注册模板。 技术可以包括将注册模板与环境信息相关联。 这些技术可以包括将注册模板和环境信息存储在设备的存储器中,其中存储的注册模板与环境信息相关联。

    MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION
    5.
    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

    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。

    Efficient forest sensing based eye tracking
    6.
    发明授权
    Efficient forest sensing based eye tracking 有权
    基于有效森林感知的眼动跟踪

    公开(公告)号:US09514364B2

    公开(公告)日:2016-12-06

    申请号:US14290408

    申请日:2014-05-29

    Abstract: Methods, systems, computer-readable media, and apparatuses for novel eye tracking methodologies are presented. Specifically, after an initial determination of a person's eyes within a field of view (FOV), methods of the present disclosures may track the person's eyes even with part of the face occluded, and may quickly re-acquire the eyes even if the person's eyes exit the FOV. Each eye may be tracked individually, at a faster rate of eye tracking due to the novel methodology, and successful eye tracking even at low image resolution and/or quality is possible. In some embodiments, the eye tracking methodology of the present disclosures includes a series of sub-tracker techniques, each performing different eye-tracking functions that, when combined, generate a highest-confidence location of where the eye has moved to in the next image frame.

    Abstract translation: 提出了用于新颖的眼睛跟踪方法的方法,系统,计算机可读介质和装置。 具体来说,在视野(FOV)中初步确定了人的眼睛后,即使眼睛的一部分被遮挡,本发明的方法也可以跟踪人的眼睛,即使人的眼睛也可以快速重新获得眼睛 退出FOV。 由于新颖的方法,可以以更快的眼睛跟踪速率单独跟踪每只眼睛,并且即使在低图像分辨率和/或质量下也可以成功地进行眼睛跟踪。 在一些实施例中,本公开的眼睛跟踪方法包括一系列子跟踪器技术,每个子跟踪器技术执行不同的眼睛跟踪功能,当组合时,生成眼睛在下一个图像中移动到哪里的最高置信位置 帧。

    MULTISPECTRAL EYE ANALYSIS FOR IDENTITY AUTHENTICATION

    公开(公告)号:US20160019420A1

    公开(公告)日:2016-01-21

    申请号:US14332279

    申请日:2014-07-15

    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.

    Dynamic learning for object tracking
    8.
    发明授权
    Dynamic learning for object tracking 有权
    动态学习对象跟踪

    公开(公告)号:US09117100B2

    公开(公告)日:2015-08-25

    申请号:US14023883

    申请日:2013-09-11

    Abstract: Techniques described herein relate to mobile computing device technologies, such as systems, methods, apparatuses, and computer-readable media for tracking an object from a plurality of objects. In one aspect, the plurality of objects may be similar. Techniques discussed herein propose dynamically learning information associated with each of the objects and discriminating between objects based on their differentiating features. In one implementation, this may be done by maintaining a database associated with each object and updating the dynamic database transferred while the objects are tracked. The tracker uses algorithmic means for differentiating objects by focusing on the differences amongst the objects. For example, in one implementation, the method may weigh the differences between different fingers higher than their associated similarities to facilitate differentiating the fingers.

    Abstract translation: 本文描述的技术涉及用于跟踪来自多个对象的对象的移动计算设备技术,诸如系统,方法,设备和计算机可读介质。 在一个方面,多个对象可以是类似的。 本文中讨论的技术提出了动态地学习与每个对象相关联的信息,并且基于它们的区分特征来区分对象。 在一个实现中,这可以通过维护与每个对象相关联的数据库并且在跟踪对象时更新所传送的动态数据库来完成。 跟踪器使用算法手段,通过关注对象之间的差异来区分对象。 例如,在一个实施方案中,该方法可以称重不同手指之间的差异高于其相关联的相似度,以便于区分手指。

    Fingerprint enrollment and matching with orientation sensor input

    公开(公告)号:US10146981B2

    公开(公告)日:2018-12-04

    申请号:US15262617

    申请日:2016-09-12

    Abstract: Techniques for associating environmental information with fingerprint images for fingerprint enrollment and matching are presented. The techniques may include capturing, using a fingerprint sensor of a mobile device, one or more images of a fingerprint. The techniques may include analyzing the one or more images to obtain fingerprint information associated with the fingerprint. The techniques may include obtaining, via an orientation sensor of the mobile device, environmental information indicating an orientation of the mobile device associated with the capturing of the one or more images. The techniques may additionally include generating, using the fingerprint information, an enrollment template for the fingerprint. The techniques may include associating the enrollment template with the environmental information. The techniques may include storing the enrollment template and the environmental information in a memory of the device, wherein the stored enrollment template is associated with the environmental information.

    Fingerprint verification system
    10.
    发明授权

    公开(公告)号:US09971928B2

    公开(公告)日:2018-05-15

    申请号:US14941273

    申请日:2015-11-13

    Abstract: Embodiments of apparatus, computer program product, and method for verifying fingerprint images are disclosed. In one embodiment, a method of verifying fingerprint images includes receiving an inquiry fingerprint image of a user, identifying pattern characteristics of the inquiry fingerprint image, identifying minutiae characteristics of the inquiry fingerprint image, determining a weighted combination of the pattern characteristics of the inquiry fingerprint image and the minutiae characteristics of the inquiry fingerprint image, where the weighted combination comprises a pattern matching weight and a minutiae matching weight derived in accordance with a separation of a first empirical probability density function of genuine fingerprints from a second empirical probability density function of impostor fingerprints, and verifying the inquiry fingerprint image based on a set of fused scores computed using the weighted combination of the pattern characteristics of the inquiry fingerprint image and the minutiae characteristics of the inquiry fingerprint image.

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