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    • 2. 发明授权
    • Image identification device, image identification method, and recording medium
    • 图像识别装置,图像识别方法和记录介质
    • US08855368B2
    • 2014-10-07
    • US13477612
    • 2012-05-22
    • Yasushi TanaseTakeshi MiuraYasuhiro TodorokiToshiki ShiinoKensuke Habuka
    • Yasushi TanaseTakeshi MiuraYasuhiro TodorokiToshiki ShiinoKensuke Habuka
    • G06K9/00G06K9/46
    • G06K9/4642G06K9/00684
    • The invention provides an image identification device that classifies block images obtained by dividing a target image into predetermined categories, using a separating plane learning of which has been completed in advance for each of the categories. The image identification device includes a target image input unit inputs the target image, a block image generation unit divides the target image into blocks to generate the block images, a feature quantity computing unit computes feature quantities of the block images, and a category determination unit determines whether the block images are classified into one of the categories or not, using the separating plane and coordinate positions corresponding to magnitudes of feature quantities of the block images in a feature quantity space, wherein the feature quantity computing unit uses, as a feature quantity of a given target block image, local feature quantities and a global feature quantity.
    • 本发明提供了一种图像识别装置,其将通过将目标图像划分为预定类别而获得的块图像,其中已经为每个类别预先完成了分离平面学习。 图像识别装置包括目标图像输入单元输入目标图像,块图像生成单元将目标图像划分为块以生成块图像,特征量计算单元计算块图像的特征量,以及类别确定单元 使用与特征量空间中的块图像的特征量的大小对应的分离平面和坐标位置来确定块图像是否被分类为其中一个类别,其中特征量计算单元使用特征量计算单元 给定的目标块图像,局部特征量和全局特征量。
    • 3. 发明申请
    • IMAGE IDENTIFICATION DEVICE, IMAGE IDENTIFICATION METHOD, AND RECORDING MEDIUM
    • 图像识别装置,图像识别方法和记录介质
    • US20120300982A1
    • 2012-11-29
    • US13477612
    • 2012-05-22
    • Yasushi TANASETakeshi MiuraYasuhiro TodorokiToshiki ShiinoKensuke Habuka
    • Yasushi TANASETakeshi MiuraYasuhiro TodorokiToshiki ShiinoKensuke Habuka
    • G06K9/62
    • G06K9/4642G06K9/00684
    • The invention provides an image identification device that classifies block images obtained by dividing a target image into predetermined categories, using a separating plane learning of which has been completed in advance for each of the categories. The image identification device includes a target image input unit inputs the target image, a block image generation unit divides the target image into blocks to generate the block images, a feature quantity computing unit computes feature quantities of the block images, and a category determination unit determines whether the block images are classified into one of the categories or not, using the separating plane and coordinate positions corresponding to magnitudes of feature quantities of the block images in a feature quantity space, wherein the feature quantity computing unit uses, as a feature quantity of a given target block image, local feature quantities and a global feature quantity.
    • 本发明提供了一种图像识别装置,其将通过将目标图像划分为预定类别而获得的块图像,其中已经为每个类别预先完成了分离平面学习。 图像识别装置包括目标图像输入单元输入目标图像,块图像生成单元将目标图像划分为块以生成块图像,特征量计算单元计算块图像的特征量,以及类别确定单元 使用与特征量空间中的块图像的特征量的大小对应的分离平面和坐标位置来确定块图像是否被分类为其中一个类别,其中特征量计算单元使用特征量计算单元 给定的目标块图像,局部特征量和全局特征量。