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    • 2. 发明授权
    • Method and apparatus for correcting a head pose in a video phone image
    • 用于校正视频电话图像中的头姿势的方法和装置
    • US07778444B2
    • 2010-08-17
    • US10538204
    • 2003-12-08
    • Mi-Suen LeeYun-Ting LinMiroslav TrajkovicVasanth Philomin
    • Mi-Suen LeeYun-Ting LinMiroslav TrajkovicVasanth Philomin
    • G06K9/00G06K9/36
    • G06K9/00228G06T7/579G06T7/75G06T17/00G06T2200/08H04N7/147
    • An image processing system (250) and method (300) are disclosed for correcting a head pose in a video phone image, so that a frontal view is presented on a display. A disclosed head pose corrector (250) estimates the orientation of a head pose and adjusts the orientation of the head pose, if necessary, to present a frontal view. The orientation of the head pose is adjusted by generating a three dimensional model of the face surface and adjusting the orientation of the three dimensional face model to provide the desired frontal view. The head pose corrector (250) may be included in a video phone (100) to correct the head pose of transmitted or received images (or both) or may be included in a server on a network to automatically adjust the head shots of one or more participants to a video phone communication.
    • 公开了一种图像处理系统(250)和方法(300),用于校正视频电话图像中的头部姿势,从而在显示器上呈现正视图。 公开的头部姿态校正器(250)估计头部姿势的方位并且如果需要的话调整头部姿势的方向以呈现正视图。 通过产生面部表面的三维模型并调整三维面部模型的取向来提供头部姿势的方位以提供所需的正视图。 头部姿势校正器(250)可以被包括在视频电话(100)中以校正发送或接收的图像(或两者)的头部姿态,或者可以被包括在网络上的服务器中,以自动调整一个或 更多参与者进行视频电话沟通。
    • 4. 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。
    • 9. 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。
    • 10. 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。