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    • 8. 发明申请
    • IMAGE PROCESSING APPARATUS AND IMAGE PROCESSING METHOD
    • 图像处理装置和图像处理方法
    • US20110150341A1
    • 2011-06-23
    • US12966725
    • 2010-12-13
    • Takahisa YamamotoMasami KatoYoshinori Ito
    • Takahisa YamamotoMasami KatoYoshinori Ito
    • G06K9/46
    • G06K9/4604G06K2009/4666
    • An image processing apparatus includes a comparison unit that selects a pixel of interest in a processing image, and compare magnitudes of luminance value of the pixel of interest and luminance value of each of a plurality of neighboring pixels having a predetermined positional relationship with the pixel of interest; a calculation unit that calculates a feature amount of the pixel of interest based on the predetermined positional relationship between the pixel of interest and each of the plurality of neighboring pixels and a comparison result obtained by the comparison unit. For two neighboring pixels at positions which are point symmetrical with respect to the pixel of interest, the comparison unit sets that only one of the two neighboring pixels has the predetermined positional relationship.
    • 一种图像处理装置,包括:比较单元,其选择处理图像中的感兴趣像素,并将感兴趣像素的亮度值的大小与具有预定位置关系的多个相邻像素的亮度值与 利益; 计算单元,其基于所述关注像素和所述多个相邻像素中的每一个之间的预定位置关系以及由所述比较单元获得的比较结果来计算所述感兴趣像素的特征量。 对于相对于感兴趣像素点对称的位置处的两个相邻像素,比较单元设置两个相邻像素中只有一个具有预定的位置关系。
    • 9. 发明申请
    • PATTERN PROCESSING APPARATUS AND METHOD, AND PROGRAM
    • 图案处理装置及方法及程序
    • US20110081089A1
    • 2011-04-07
    • US12963568
    • 2010-12-08
    • Katsuhiko MoriMasami KatoYoshinori ItoTakahisa Yamamoto
    • Katsuhiko MoriMasami KatoYoshinori ItoTakahisa Yamamoto
    • G06K9/68
    • G06K9/00281
    • Even when a local area is varied, degradation in recognition accuracy and detection accuracy is suppressed. To that end, a pattern processing apparatus includes a reference local area setting portion 1802 for setting a reference local area based on the detection result of a feature point by a face organ feature point detecting portion 101, a varied local area generating portion 1803 for generating a plurality of varied local area patterns by referring to an image area near the reference local area, a similarity calculating portion 106 for calculating similarities in the reference local areas and in the varied local area patterns between the input pattern and the registered pattern, a representative similarity calculating portion 107 for calculating representative similarity from among the similarities, and a classifying portion 109 for determining a class to which the input pattern belongs.
    • 即使局部区域变化,也能够抑制识别精度和检测精度的劣化。 为此,图案处理装置包括:基准局部区域设定部1802,用于基于面部特征点检测部101的特征点的检测结果来设定基准局部区域;变化的局部区域生成部1803, 通过参考参考局部区域附近的图像区域的多个变化的局部区域图案,计算参考局部区域和输入图案与登记图案之间的变化的局部区域图案中的相似度的相似度计算部分106, 相似度计算部分107,用于从相似度中计算代表性相似度;以及分类部分109,用于确定输入模式所属的类别。
    • 10. 发明申请
    • INFORMATION PROCESSING APPARATUS AND INFORMATION PROCESSING METHOD
    • 信息处理设备和信息处理方法
    • US20100209010A1
    • 2010-08-19
    • US12682028
    • 2008-10-29
    • Masami KatoTakahisa YamamotoYoshinori Ito
    • Masami KatoTakahisa YamamotoYoshinori Ito
    • G06K9/68
    • G06K9/6257G06K9/00973
    • In an information processing apparatus that processes data using cascade-connected weak classifiers, processing specification information specifying the processing content of each of the weak classifiers is stored. The weak classifiers to be used in processing the data are selected from the weak classifiers by referring to a table in which is specified information for determining the weak classifiers to be used based on a condition for processing the data. The data is then processed by the selected weak classifiers based on the processing specification information that corresponds to those weak classifiers, and an object is extracted from the data using an obtained evaluation value. Through this, a combination of extraction process speed and extraction accuracy can be changed in a flexible manner when extracting a specific object from image data.
    • 在使用级联连接的弱分类器处理数据的信息处理装置中,存储指定每个弱分类器的处理内容的处理规范信息。 用于处理数据的弱分类器通过参照其中指定的用于确定用于处理数据的条件的弱分类器的指定信息的表,从弱分类器中选择。 然后基于与这些弱分类器对应的处理规范信息,由所选择的弱分类器处理数据,并且使用获得的评估值从数据中提取对象。 通过这种方式,当从图像数据中提取特定对象时,提取处理速度和提取精度的组合可以灵活地改变。