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    • 2. 发明申请
    • METHODS AND SYSTEMS FOR BIOMETRIC IDENTIFICATION
    • 用于生物识别的方法和系统
    • US20100266165A1
    • 2010-10-21
    • US12770118
    • 2010-04-29
    • James R. MateyJames R. Bergen
    • James R. MateyJames R. Bergen
    • G06T7/00
    • G06K9/00617G06K9/6255
    • A method for identifying an iris image can include obtaining an iris image of an eye, segmenting the iris image, generating, from the segmented iris image, a normalized iris image, and generating, from the normalized iris image, an iris template. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates and matching the modified iris template with one of the plurality of previously stored other modified iris templates. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates, and matching the modified iris template with one of the plurality of previously stored other modified iris templates.
    • 用于识别虹膜图像的方法可以包括获得眼睛的虹膜图像,分割虹膜图像,从分割的虹膜图像生成归一化的虹膜图像,以及从归一化的虹膜图像生成虹膜模板。 该方法还可以包括通过提取虹膜模板的一部分来生成修改的虹膜模板,将修改的虹膜模板与多个先前存储的其它修改的虹膜模板进行比较,并将修改的虹膜模板与多个先前存储的其他修改的虹膜模板中的一个进行匹配 虹膜模板 该方法还可以包括通过提取虹膜模板的一部分来生成修改的虹膜模板,将修改的虹膜模板与多个先前存储的其他修改的虹膜模板进行比较,以及将修改的虹膜模板与多个先前存储的其他模板之一进行匹配 修改虹膜模板。
    • 6. 发明授权
    • Method and apparatus for extended depth of field imaging
    • 用于扩展景深成像的方法和装置
    • US06201899B1
    • 2001-03-13
    • US09232417
    • 1999-01-15
    • James R. Bergen
    • James R. Bergen
    • G06K936
    • G06K9/00134
    • A method for constructing an extended depth of field image from a plurality of source images taken of an object at substantially identical fields of view but at differing focal distances, the method including receiving the plurality of source images, and filtering the plurality of source images to obtain relatively high frequency components in each of the filtered images. The energy levels of the high frequency components are estimated. The sub-regions in each filtered image having energy levels which are greater than energy levels of sub-regions in other filtered images are selected. The selected sub-regions of each filtered image are mapped to corresponding sub-regions in each source image. Finally, the corresponding sub-regions of the source images are merged to obtain the extended depth of field image.
    • 一种用于从基本上相同的视野但不同焦距的物体拍摄的多个源图像构造扩展的景深图像的方法,所述方法包括:接收多个源图像,并且将多个源图像过滤到 在每个滤波图像中获得相对高频分量。 估计高频分量的能级。 选择具有大于其他滤波图像中的子区域的能级的能级的每个滤波图像中的子区域。 每个滤波图像的所选择的子区域被映射到每个源图像中的相应子区域。 最后,将源图像的相应子区域合并以获得扩展景深图像。
    • 7. 发明授权
    • Method and apparatus for generating image textures
    • 用于生成图像纹理的方法和装置
    • US5872867A
    • 1999-02-16
    • US511258
    • 1995-08-04
    • James R. Bergen
    • James R. Bergen
    • H04N5/262G06T1/00G06T5/00G06T11/00G06T11/20G06T15/00G06K9/00G06K9/36G06K9/40
    • G06T11/001
    • A method and apparatus for synthesizing texture images that match the texture appearance of a given digitized sample of an image. This synthesis is completely automatic and requires only the "target" texture image as an input. It allows generation of as much texture as desired so that any object or surface can be covered with the synthesized texture. The apparatus generates texture parameters for the target texture sample image that reflect the texture in that image. These texture parameters are used to modify the noise image such that the modified noise image attains the texture of the target texture image. To further improve the texture of the modified noise image, an image pyramid is constructed for both the modified noise image and the target texture sample image. The apparatus then iteratively updates the modified noise image on a coarse-to-fine basis using the subbands of the image pyramids. The output image is an updated modified noise image that has attained the texture of the target texture sample image.
    • 一种用于合成与图像的给定数字化样本的纹理外观相匹配的纹理图像的方法和装置。 该合成是完全自动的,只需要“目标”纹理图像作为输入。 它允许根据需要产生尽可能多的纹理,使得任何物体或表面可以被合成纹理覆盖。 该装置为反映该图像中的纹理的目标纹理样本图像生成纹理参数。 这些纹理参数用于修改噪声图像,使得修改的噪声图像达到目标纹理图像的纹理。 为了进一步改善修改的噪声图像的纹理,为修改的噪声图像和目标纹理样本图像构建图像金字塔。 然后,该装置使用图像金字塔的子带在粗略到细微的基础上迭代地更新修改的噪声图像。 输出图像是已经达到目标纹理样本图像纹理的更新的修改后的噪声图像。
    • 8. 发明授权
    • Methods and systems for biometric identification
    • 用于生物识别的方法和系统
    • US07751598B2
    • 2010-07-06
    • US11510197
    • 2006-08-25
    • James R. MateyJames R. Bergen
    • James R. MateyJames R. Bergen
    • G06K9/00
    • G06K9/00617G06K9/6255
    • A method for identifying an iris image can include obtaining an iris image of an eye, segmenting the iris image, generating, from the segmented iris image, a normalized iris image, and generating, from the normalized iris image, an iris template. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates and matching the modified iris template with one of the plurality of previously stored other modified iris templates. The method can also include generating a modified iris template by extracting a portion of the iris template, comparing the modified iris template with a plurality of previously stored other modified iris templates, and matching the modified iris template with one of the plurality of previously stored other modified iris templates.
    • 用于识别虹膜图像的方法可以包括获得眼睛的虹膜图像,分割虹膜图像,从分割的虹膜图像生成归一化的虹膜图像,以及从归一化的虹膜图像生成虹膜模板。 该方法还可以包括通过提取虹膜模板的一部分来生成修改的虹膜模板,将修改的虹膜模板与多个先前存储的其它修改的虹膜模板进行比较,并将修改的虹膜模板与多个先前存储的其他修改的虹膜模板中的一个进行匹配 虹膜模板 该方法还可以包括通过提取虹膜模板的一部分来生成修改的虹膜模板,将修改的虹膜模板与多个先前存储的其他修改的虹膜模板进行比较,以及将修改的虹膜模板与多个先前存储的其他模板之一进行匹配 修改虹膜模板。