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    • 1. 发明授权
    • Method and apparatus for automatic face blurring
    • 自动脸部模糊的方法和装置
    • US06959099B2
    • 2005-10-25
    • US10011612
    • 2001-12-06
    • Srinivas GuttaMiroslav TrajkovicAntonio J. ColmenarezVasanth Philomin
    • Srinivas GuttaMiroslav TrajkovicAntonio J. ColmenarezVasanth Philomin
    • G06T1/00G06K9/00G06K9/36G06T5/20G06T7/40
    • G06T5/002G06K9/00228G06T2207/10016G06T2207/30201
    • An image processing system is disclosed that provides automatic face or skin blurring for images. All faces or skin can be blurred, or specific faces can be blurred. In one aspect of the invention, a particular face is blurred on an image or on a series of images in a video. Faces are determined in an image, and face matching is performed to match a particular face to faces in the image. If a match is found, the face or a portion of the face is blurred in the image. The blurring is performed on a portion of the image containing the particular face. Blurring may be performed through a variety of techniques. In another aspect of the invention, voice processing is used as an adjunct to or in place of face analysis to determine if a face in an image or series of images should be blurred. In another aspect of the invention, all faces or human skin in an image or series of images is blurred.
    • 公开了一种为图像提供自动脸部或皮肤模糊的图像处理系统。 所有面部或皮肤都可以模糊,或者特定的面部可以模糊。 在本发明的一个方面,特定的脸部在视频中的图像或一系列图像上模糊。 在图像中确定面部,并且执行面部匹配以将特定面部与图像中的面部匹配。 如果找到匹配,脸部或脸部的一部分在图像中模糊。 在包含特定面部的图像的一部分上执行模糊。 可以通过各种技术来执行模糊。 在本发明的另一方面,语音处理用作面部分析的附加物或代替脸部分析,以确定图像中的脸部或一系列图像是否应该模糊。 在本发明的另一方面,图像或一系列图像中的所有面部或人体皮肤都模糊。
    • 4. 发明申请
    • Computer vision system and method employing illumination invariant neural networks
    • 计算机视觉系统和采用照明不变神经网络的方法
    • US20060013475A1
    • 2006-01-19
    • US10538206
    • 2003-12-08
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • Vasanth PhilominSrinivas GuttaMiroslav Trajkovic
    • G06K9/62
    • G06K9/6273
    • Objects are classified using a normalized cross correlation (NCC) measure to compare two images acquired under non-uniform illumination conditions. An input pattern is classified to assign a tentative classification label and value. The input pattern is assigned to an output node in the radial basis function network having the largest classification value. If the input pattern and an image associated with the node, referred to as a node image, both have uniform illumination, then the node image is accepted and the probability is set above a user specified threshold. If the test image or the node image are not uniform, then the node image is not accepted and the classification value is kept as the value assigned by the classifier. If both the test image and the node image are not uniform, then an NCC measure is used and the classification value is set as the NCC value.
    • 使用归一化互相关(NCC)测量对对象进行分类,以比较在不均匀照明条件下获取的两个图像。 输入模式被分类以分配暂定分类标签和值。 将输入模式分配给具有最大分类值的径向基函数网络中的输出节点。 如果输入模式和与节点相关联的图像(称为节点图像)都具有均匀的照明,则节点图像被接受,并且将概率设置在用户指定的阈值以上。 如果测试图像或节点图像不均匀,则不接受节点图像,并且将分类值保持为分类器分配的值。 如果测试图像和节点图像都不一致,则使用NCC测量,并将分类值设置为NCC值。
    • 5. 发明授权
    • Smart parking advisor
    • 智能停车顾问
    • US06426708B1
    • 2002-07-30
    • US09895149
    • 2001-06-30
    • Miroslav TrajkovicSrinivas GuttaVasanth Philomin
    • Miroslav TrajkovicSrinivas GuttaVasanth Philomin
    • B60Q148
    • G08G1/14
    • A parking advisor images scenes of a parking area and identifies free spaces using image processing techniques. The advisor then makes recommendations as to which areas a driver should go based on the locations of free spaces. One way of outputting the recommendations is to display them on a terminal at an entry gate or to print them on a ticket, receipt, or other piece of paper. An entry terminal may be provided to allow the user to enter a preferred destination served by the parking area. For example, the destination could be a particular airline terminal or department store. The advisor may select, among the free spaces identified, those that are most convenient to the destination and provide corresponding directions.
    • 停车顾问对停车区域的场景进行图像识别,并使用图像处理技术识别自由空间。 然后,顾问根据自由空间的位置提出一个司机应该去哪些领域的建议。 输出建议的一种方法是将它们显示在入口处的终端上,或者将它们打印在票据,收据或其他纸张上。 可以提供入场终端以允许用户进入由停车区域服务的优选目的地。 例如,目的地可以是特定的航空公司终端或百货公司。 顾问可以在所识别的空闲空间中选择那些最方便到达目的地并提供相应指示的空间。
    • 8. 发明申请
    • Smart Card That Stores Invisible Signatures
    • 存储隐形签名的智能卡
    • US20080037842A1
    • 2008-02-14
    • US10555552
    • 2004-05-06
    • Srinivas GuttaMiroslav TrajkovicVasanth Philomin
    • Srinivas GuttaMiroslav TrajkovicVasanth Philomin
    • G06K9/22
    • G07F7/1008G06Q20/341G06Q20/40145G07C9/00087G07C2009/00095
    • A transaction card 10 for use in a transaction includes a memory 15 and pressure sensors 20. The authorized user provides biometric data, such as a signature, by signing on the pressure sensors (20) using a pointer for storage in the memory (15) when the card is used for the first time. The signature is not visible on the card for added security. At the point of use of the transaction card (10), such as the point of sale, the user signs on an input device (50) such as a digital tablet, a tablet with pressure sensors or a slip of paper. This newly acquired signature (55) is compared with the signature stored on the transaction card (10), such as by displaying the stored signature out of the view of the user and comparing displayed signature with the acquired signature (55). The comparison may be performed by the service-providing associate or by a processor coupled to the input device (50).
    • 用于交易的交易卡10包括存储器15和压力传感器20。 当第一次使用该卡时,授权用户通过使用用于在存储器(15)中存储的指示器登录压力传感器(20)来提供诸如签名的生物特征数据。 签名在卡上不可见,以增加安全性。 在诸如销售点的交易卡(10)的使用点,用户在诸如数字平板电脑的输入设备(50),具有压力传感器的平板电脑或纸张上签牌。 将新获取的签名(55)与存储在交易卡(10)上的签名进行比较,例如通过从用户的视图显示存储的签名并将显示的签名与所获取的签名进行比较(55)。 该比较可以由提供服务的联系人或耦合到输入设备(50)的处理器执行。