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    • 2. 发明申请
    • Image Recognition Device, Image Recognition Method, and Program for Causing Computer to Execute the Method
    • 图像识别装置,图像识别方法和计算机执行方法的程序
    • US20080273761A1
    • 2008-11-06
    • US11628619
    • 2005-05-25
    • Kozo Kawata
    • Kozo Kawata
    • G06K9/00
    • G06K9/00281G06K9/6271
    • An average face-image is created from images belonging to a face-image group and sample points are specified on the average face-image. Sample points are detected on images in the face-image group corresponding to sample points on the average face-image thereby creating recognition subspaces of feature vectors. Sample points are detected on registered images and an input image corresponding to the sample points on the average face-image by using the recognition subspaces. A degree of similarity between the feature vectors in the recognition subspaces of the registered images and the input image is calculated at the detected sample points. Finally, a person is verified based on the degree of similarity.
    • 从属于面部图像组的图像创建平均面部图像,并且在平均面部图像上指定采样点。 在对应于平均面部图像上的采样点的面部图像组中的图像上检测采样点,从而创建特征向量的识别子空间。 通过使用识别子空间,在注册的图像上检测采样点和对应于平均脸部图像上的采样点的输入图像。 在检测到的采样点处计算注册图像的识别子空间中的特征向量与输入图像之间的相似程度。 最后,根据相似度验证一个人。
    • 3. 发明授权
    • Image recognition device, image recognition method, and program for causing computer to execute the method
    • 图像识别装置,图像识别方法以及使计算机执行该方法的程序
    • US07835547B2
    • 2010-11-16
    • US11628619
    • 2005-05-25
    • Kozo Kawata
    • Kozo Kawata
    • G06K9/00
    • G06K9/00281G06K9/6271
    • An average face-image is created from images belonging to a face-image group and sample points are specified on the average face-image. Sample points are detected on images in the face-image group corresponding to sample points on the average face-image thereby creating recognition subspaces of feature vectors. Sample points are detected on registered images and an input image corresponding to the sample points on the average face-image by using the recognition subspaces. A degree of similarity between the feature vectors in the recognition subspaces of the registered images and the input image is calculated at the detected sample points. Finally, a person is verified based on the degree of similarity.
    • 从属于面部图像组的图像创建平均面部图像,并且在平均面部图像上指定采样点。 在对应于平均面部图像上的采样点的面部图像组中的图像上检测采样点,从而创建特征向量的识别子空间。 通过使用识别子空间,在注册的图像上检测采样点和对应于平均脸部图像上的采样点的输入图像。 在检测到的采样点处计算注册图像的识别子空间中的特征向量与输入图像之间的相似程度。 最后,根据相似度验证一个人。