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    • 7. 发明授权
    • Pattern searching method using neural networks and correlation
    • 使用神经网络的模式搜索方法和相关性
    • US5696838A
    • 1997-12-09
    • US376544
    • 1995-01-23
    • Chinchuan ChiuToru OkiPhilip Paolella
    • Chinchuan ChiuToru OkiPhilip Paolella
    • G06F15/18G06G7/60G06K9/32G06K9/64G06N3/063G06T7/00G06K9/62
    • G06K9/6203G06K9/3233
    • A pattern searching method using neural networks and correlation. This method combines the quickness and adaptiveness of neural networks with the accuracy of the mathematical correlation approach. Images are divided into small sub-images which are presented to the trained neural network. Sub-images that may contain the pattern or partial pattern are selected by the neural network. The neural network also provides the approximate location of the pattern, therefore the selected sub-images can be adjusted to contain the complete pattern. Desired patterns can be located by measuring the new sub-images' correlation values against the reference models in a small area. Experiments show that this superior method is able to find the desired patterns. Moreover, this method is much faster than traditional pattern searching methods which use only correlation.
    • 使用神经网络和相关性的模式搜索方法。 该方法将神经网络的快速性和适应性与数学相关方法的准确性相结合。 图像被分为呈现给训练神经网络的小的子图像。 可能包含图案或部分图案的子图像由神经网络选择。 神经网络还提供了图案的大致位置,因此可以调整所选择的子图像以包含完整图案。 可以通过在小区域中针对参考模型测量新的子图像的相关值来定位所需的图案。 实验表明,这种优越的方法能够找到所需的模式。 此外,该方法比仅使用相关性的传统模式搜索方法快得多。
    • 8. 发明授权
    • Pattern searching method using neural networks and correlation
    • 使用神经网络的模式搜索方法和相关性
    • US5995652A
    • 1999-11-30
    • US910265
    • 1997-08-13
    • Chinchuan ChiuToru OkiPhilip Paolella
    • Chinchuan ChiuToru OkiPhilip Paolella
    • G06K9/32G06K9/64G06K9/62
    • G06K9/6203G06K9/3233
    • A pattern searching method using neural networks and correlation. This method combines the quickness and adaptiveness of neural networks with the accuracy of the mathematical correlation approach. Images are divided into small sub-images which are presented to the trained neural network. Sub-images that may contain the pattern or partial pattern are selected by the neural network. The neural network also provides the approximate location of the pattern, therefore the selected sub-images can be adjusted to contain the complete pattern. Desired patterns can be located by measuring the new sub-images' correlation values against the reference models in a small area. Experiments show that this superior method is able to find the desired patterns. Moreover, this method is much faster than traditional pattern searching methods which use only correlation.
    • 使用神经网络和相关性的模式搜索方法。 该方法将神经网络的快速性和适应性与数学相关方法的准确性相结合。 图像被分为呈现给训练神经网络的小的子图像。 可能包含图案或部分图案的子图像由神经网络选择。 神经网络还提供了图案的大致位置,因此可以调整所选择的子图像以包含完整图案。 可以通过在小区域中针对参考模型测量新的子图像的相关值来定位所需的图案。 实验表明,这种优越的方法能够找到所需的模式。 此外,该方法比仅使用相关性的传统模式搜索方法快得多。
    • 10. 发明申请
    • Camera feature with divided autofocus search range
    • 相机功能具有分割自动对焦搜索范围
    • US20070147817A1
    • 2007-06-28
    • US11471056
    • 2006-06-19
    • Jingqiang LiYing NoyesChinchuan Chiu
    • Jingqiang LiYing NoyesChinchuan Chiu
    • G03B3/10
    • G03B3/10G02B7/282
    • Apparatus are provided, including an autofocus mechanism. The autofocus mechanism includes an autofocus preliminary operation mechanism and an autofocus continuation mechanism. The autofocus preliminary operation mechanism starts an autofocus of a lens assembly on a given target by causing a focus quality determiner to determine the quality of focus of the lens assembly on the given target while the position of the lens unit is in one focus range and causing an adjustment controller to effect a preliminary adjustment of the lens assembly position within the same one focus range. The autofocus continuation mechanism automatically, upon a lack of successful focus by the autofocus preliminary operation mechanism, continues an autofocus of the lens assembly on the given target by causing the adjustment controller to effect a continued adjustment of the lens assembly position from the one focus range to a different focus range while the focus quality determiner continues to determine the quality of the focus.
    • 提供了包括自动对焦机构的设备。 自动对焦机构包括自动聚焦预备操作机构和自动对焦延续机构。 自动聚焦预备操作机构通过使焦点质量确定器在透镜单元的位置处于一个对焦范围内来确定透镜组件在给定目标上的焦点质量来启动透镜组件在给定目标上的自动聚焦,并导致 调整控制器,用于在相同的一个聚焦范围内实现对镜头组件位置的初步调整。 自动聚焦延续机构在自动聚焦预备操作机构缺少成功的焦点时自动地通过使调节控制器实现透镜组件位置从一个聚焦范围的持续调节来继续透镜组件在给定目标上的自动聚焦 到不同的对焦范围,而焦点质量确定器继续确定焦点的质量。