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    • 7. 发明授权
    • Face detection method, device and program
    • 人脸检测方法,设备和程序
    • US07801337B2
    • 2010-09-21
    • US11652512
    • 2007-01-12
    • Sadato AkahoriKensuke Terakawa
    • Sadato AkahoriKensuke Terakawa
    • G06K9/00
    • G06K9/00281G06K9/6215G06K9/6257G06K9/629
    • To detect a face image in an inputted image, predetermined-size partial images are cut out at different positions in the inputted image. An indicator value indicating a probability of each partial image being the face image is calculated. The partial images having the indicator values not less than a first threshold are extracted as candidate face images. Each candidate is set as a candidate of interest. If any nearby candidate is present within a predetermined coordinate distance from the candidate of interest, the candidate of interest and the nearby candidate are set in one candidate group. For each candidate group, an integrated indicator value reflecting the indicator values calculated for the candidates forming the candidate group is calculated. Then, an image within a predetermined area in the inputted image containing the candidate group having the integrated indicator value not less than a second threshold is extracted as the face image.
    • 为了检测输入图像中的面部图像,在输入图像中的不同位置切出预定尺寸的部分图像。 计算指示每个部分图像是面部图像的概率的指示符值。 提取具有不小于第一阈值的指标值的部分图像作为候选面部图像。 每个候选人被设定为感兴趣的候选人。 如果任何附近的候选人存在于距感兴趣候选人的预定坐标距离内,则将感兴趣的候选人和附近的候选人设置在一个候选组中。 对于每个候选组,计算反映针对形成候选组的候选计算出的指标值的综合指标值。 然后,提取包含具有不小于第二阈值的积分指标值的候选组的输入图像内的预定区域内的图像作为面部图像。
    • 9. 发明申请
    • Method, apparatus, and program for discriminating faces
    • 用于区分面部的方法,装置和程序
    • US20060222217A1
    • 2006-10-05
    • US11393708
    • 2006-03-31
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • Yoshiro KitamuraSadato AkahoriKensuke Terakawa
    • G06K9/00G06K9/62
    • G06K9/6256G06K9/00248
    • A face discrimnating process judges whether a discrimination target image is an image of a face, based on characteristic amounts of the discrimination target image. A first and a second brightness gradation converting process are administered as preliminary processes. The first brightness gradation converting process is administered on regions in which the degrees of variance of pixel values are greater than or equal to a first predetermined level. The second brightness gradation converting process is administered on regions in which the degrees of variance are less than the first predetermined level. The first brightness gradation converting process causes the degree of variance to approach a second predetermined level. The second brightness gradation converting process suppresses the degree of variance to be less than the second predetermined level.
    • 面部鉴别处理基于鉴别目标图像的特征量判断辨别目标图像是否是脸部的图像。 第一和第二亮度灰度转换处理作为初步处理。 在像素值的方差大于或等于第一预定水平的区域上施加第一亮度灰度转换处理。 在方差小于第一预定水平的区域上施加第二亮度灰度转换处理。 第一亮度灰度转换处理使得方差程度接近第二预定水平。 第二亮度灰度转换处理将方差程度抑制成小于第二预定水平。
    • 10. 发明授权
    • Face detecting method and photography apparatus using the method
    • 使用该方法的脸部检测方法和摄影装置
    • US07881528B2
    • 2011-02-01
    • US11730104
    • 2007-03-29
    • Kensuke Terakawa
    • Kensuke Terakawa
    • G06K9/00
    • G06K9/00234G06K9/2018
    • Faces are detected efficiently, while preventing deterioration of face detection accuracy due to brightness during photography or the type of illumination which is employed during photography. When an image is obtained by an imaging means, an illumination judging means judges whether the illumination employed during photography is provided tungsten light source. In the case that the illumination is provided by a tungsten light source, face detection is performed based on a red signal image. In the case that the illumination is not provided by a tungsten light source, face detection is performed based on a green signal image.
    • 有效地检测面部,同时防止由于摄影期间的亮度或摄影期间使用的照明类型引起的面部检测精度的劣化。 当通过成像装置获得图像时,照明判断装置判断在摄影期间采用的照明是否被提供钨光源。 在由钨光源提供照明的情况下,基于红色信号图像进行脸部检测。 在不由钨光源提供照明的情况下,基于绿色信号图像进行脸部检测。