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    • 2. 发明申请
    • SELF LEARNING FACE RECOGNITION USING DEPTH BASED TRACKING FOR DATABASE GENERATION AND UPDATE
    • 使用基于深度的跟踪进行数据库生成和更新的自学习面部识别
    • US20130343600A1
    • 2013-12-26
    • US13530925
    • 2012-06-22
    • Harshavardhana Narayana KikkeriMichael F. KoenigJeffrey Cole
    • Harshavardhana Narayana KikkeriMichael F. KoenigJeffrey Cole
    • G06K9/62
    • G06K9/00926G06K9/00221G06K9/00248G06K9/00295G06K9/00369G06T2207/10016
    • Face recognition training database generation technique embodiments are presented that generally involve collecting characterizations of a person's face that are captured over time and as the person moves through an environment, to create a training database of facial characterizations for that person. As the facial characterizations are captured over time, they are will represent the person's face as viewed from various angles and distances, different resolutions, and under different environmental conditions (e.g., lighting and haze conditions). Further, over a long period of time where facial characterizations of a person are collected periodically, these characterizations can represent an evolution in the appearance of the person. This produces a rich training resource for use in face recognition systems. In addition, since a person's face recognition training database can be established before it is needed by a face recognition system, once employed, the training will be quicker.
    • 提出了面部识别训练数据库生成技术实施例,其通常涉及收集随时间被捕获的人的脸部的特征,以及当人们通过环境移动时,为该人创建面部表征的训练数据库。 随着随着时间的流逝捕获面部特征,它们将代表从各种角度和距离,不同分辨率以及在不同环境条件(例如,照明和阴霾条件)下观察的人脸。 此外,在长时间地定期收集人的面部特征的时候,这些表征可以代表人的外观的演变。 这为人脸识别系统提供了丰富的培训资源。 另外,由于人脸识别训练数据库可以在人脸识别系统需要之前建立,所以一旦使用,训练就会更快。
    • 3. 发明授权
    • Self learning face recognition using depth based tracking for database generation and update
    • 使用基于深度的跟踪来进行数据库生成和更新的自学习人脸识别
    • US08855369B2
    • 2014-10-07
    • US13530925
    • 2012-06-22
    • Harshavardhana Narayana KikkeriMichael F. KoenigJeffrey Cole
    • Harshavardhana Narayana KikkeriMichael F. KoenigJeffrey Cole
    • G06K9/00
    • G06K9/00926G06K9/00221G06K9/00248G06K9/00295G06K9/00369G06T2207/10016
    • Face recognition training database generation technique embodiments are presented that generally involve collecting characterizations of a person's face that are captured over time and as the person moves through an environment, to create a training database of facial characterizations for that person. As the facial characterizations are captured over time, they are will represent the person's face as viewed from various angles and distances, different resolutions, and under different environmental conditions (e.g., lighting and haze conditions). Further, over a long period of time where facial characterizations of a person are collected periodically, these characterizations can represent an evolution in the appearance of the person. This produces a rich training resource for use in face recognition systems. In addition, since a person's face recognition training database can be established before it is needed by a face recognition system, once employed, the training will be quicker.
    • 提出了面部识别训练数据库生成技术实施例,其通常涉及收集随时间被捕获的人的脸部的特征,以及当人们通过环境移动时,为该人创建面部表征的训练数据库。 随着随着时间的流逝捕获面部特征,它们将代表从各种角度和距离,不同分辨率以及在不同环境条件(例如,照明和阴霾条件)下观察的人脸。 此外,在长时间地定期收集人的面部特征的时候,这些表征可以代表人的外观的演变。 这为人脸识别系统提供了丰富的培训资源。 另外,由于人脸识别训练数据库可以在人脸识别系统需要之前建立,所以一旦使用,训练就会更快。
    • 4. 发明申请
    • FACE RECOGNITION USING DEPTH BASED TRACKING
    • 使用深度跟踪的脸部识别
    • US20150092986A1
    • 2015-04-02
    • US14507956
    • 2014-10-07
    • Harshavardhana Narayana KikkeriMichael F. KoenigJeffrey Cole
    • Harshavardhana Narayana KikkeriMichael F. KoenigJeffrey Cole
    • G06K9/00
    • G06K9/00926G06K9/00221G06K9/00248G06K9/00295G06K9/00369G06T2207/10016
    • Face recognition training database generation technique embodiments are presented that generally involve collecting characterizations of a person's face that are captured over time and as the person moves through an environment, to create a training database of facial characterizations for that person. As the facial characterizations are captured over time, they are will represent the person's face as viewed from various angles and distances, different resolutions, and under different environmental conditions (e.g., lighting and haze conditions). Further, over a long period of time where facial characterizations of a person are collected periodically, these characterizations can represent an evolution in the appearance of the person. This produces a rich training resource for use in face recognition systems. In addition, since a person's face recognition training database can be established before it is needed by a face recognition system, once employed, the training will be quicker.
    • 提出了面部识别训练数据库生成技术实施例,其通常涉及收集随时间被捕获的人的脸部的特征,以及当人们通过环境移动时,为该人创建面部表征的训练数据库。 随着随着时间的流逝捕获面部特征,它们将代表从各种角度和距离,不同分辨率以及在不同环境条件(例如,照明和阴霾条件)下观察的人脸。 此外,在长时间地定期收集人的面部特征的时候,这些表征可以代表人的外观的演变。 这为人脸识别系统提供了丰富的培训资源。 另外,由于人脸识别训练数据库可以在人脸识别系统需要之前建立,所以一旦使用,训练就会更快。
    • 10. 发明申请
    • SYSTEM AND METHOD FOR ESTIMATING AND ATTENUATING NOISE IN SEISMIC DATA
    • 用于估计和降低地震数据噪声的系统和方法
    • US20140019055A1
    • 2014-01-16
    • US13545467
    • 2012-07-10
    • Bogdan KustowskiGilles HennenfentJeffrey Cole
    • Bogdan KustowskiGilles HennenfentJeffrey Cole
    • G06F19/00
    • G01V1/364G01V1/28G01V2210/32
    • A system and method for attenuating noise in seismic data representative of a subsurface region of interest including receiving the seismic data; transforming the seismic data into a domain wherein the seismic data have a sparse or compressible representation to create transformed seismic data; dividing the domain into windows wherein the windows represent known spatio-temporal locations in the seismic data; determining statistics of the transformed seismic data in each window; determining a filter for each window based on the statistics of the transformed data; applying the filter for each window to the transformed seismic data in each window to create filtered seismic data; and performing an inverse transform of the filtered seismic data to create noise-attenuated seismic data.
    • 一种系统和方法,用于衰减代表感兴趣地下地区的地震数据中的噪声,包括接收地震数据; 将地震数据转换成其中地震数据具有稀疏或可压缩表示以产生变换的地震数据的域; 将域划分为窗口,其中窗口表示地震数据中已知的时空位置; 确定每个窗口中变换的地震数据的统计; 基于经变换的数据的统计确定每个窗口的滤波器; 将每个窗口的滤波器应用于每个窗口中的变换的地震数据,以产生滤波的地震数据; 并执行经滤波的地震数据的逆变换以产生噪声衰减的地震数据。