METHOD, APPARATUS, AND PROGRAM FOR DETECTING FACIAL CHARACTERISTIC POINTS
    2.
    发明申请
    METHOD, APPARATUS, AND PROGRAM FOR DETECTING FACIAL CHARACTERISTIC POINTS 有权
    用于检测物理特征点的方法,装置和程序

    公开(公告)号:US20090010544A1

    公开(公告)日:2009-01-08

    申请号:US12278616

    申请日:2007-02-07

    IPC分类号: G06K9/46

    CPC分类号: G06K9/00281

    摘要: First, a face within an image, which is a target of detection, is detected. Detection data of the face is employed to detect eyes which are included in the face. Detection data of the eyes are employed to detect the inner and outer corners of the eyes. Detection data of the inner and outer corners of the eyes is employed to detect characteristic points of the upper and lower eyelids that represent the outline of the eyes.

    摘要翻译: 首先,检测作为检测对象的图像内的面部。 使用脸部的检测数据来检测包含在脸部中的眼睛。 眼睛的检测数据用于检测眼睛的内角和外角。 使用眼睛内外角的检测数据来检测表示眼睛轮廓的上眼睑和下眼睑的特征点。

    METHOD, APPARATUS, AND PROGRAM FOR DETECTING FACIAL CHARACTERISTIC POINTS
    3.
    发明申请
    METHOD, APPARATUS, AND PROGRAM FOR DETECTING FACIAL CHARACTERISTIC POINTS 有权
    用于检测物理特征点的方法,装置和程序

    公开(公告)号:US20120269443A1

    公开(公告)日:2012-10-25

    申请号:US13534817

    申请日:2012-06-27

    IPC分类号: G06K9/46

    CPC分类号: G06K9/00281

    摘要: First, a face within an image, which is a target of detection, is detected. Detection data of the face is employed to detect eyes which are included in the face. Detection data of the eyes are employed to detect the inner and outer corners of the eyes. Detection data of the inner and outer corners of the eyes is employed to detect characteristic points of the upper and lower eyelids that represent the outline of the eyes.

    摘要翻译: 首先,检测作为检测对象的图像内的面部。 使用脸部的检测数据来检测包含在脸部中的眼睛。 眼睛的检测数据用于检测眼睛的内角和外角。 使用眼睛内外角的检测数据来检测表示眼睛轮廓的上眼睑和下眼睑的特征点。

    Method, apparatus, and program for discriminating faces
    4.
    发明申请
    Method, apparatus, and program for discriminating faces 审中-公开
    用于区分面部的方法,装置和程序

    公开(公告)号:US20070189609A1

    公开(公告)日:2007-08-16

    申请号:US11393680

    申请日:2006-03-31

    IPC分类号: G06K9/62 G06K9/46

    摘要: A face discriminating process judges whether a discrimination target image is an image of a face, based on characteristic amounts of the discrimination target image. Gradation conversion of pixel values is administered as a preliminary process, to suppress fluctuations in contrast within the discrimination target image. In the gradation conversion process, degrees of variance of pixel values within local regions of the discrimination target image are caused to approach a predetermined level. The local regions are set to be of a size that includes a single eye of a face to be discriminated.

    摘要翻译: 面部鉴别处理基于鉴别目标图像的特征量来判断辨别目标图像是否是脸部的图像。 作为初步处理来施加像素值的灰度变换,以抑制辨别目标图像内的对比度的波动。 在灰度转换处理中,鉴别目标图像的局部区域内的像素值的变化程度达到预定水平。 局部区域被设置为包括要被区别的脸的单个眼睛的尺寸。

    Learning method of face classification apparatus, face classification method, apparatus and program
    6.
    发明授权
    Learning method of face classification apparatus, face classification method, apparatus and program 有权
    面部分类装置的学习方法,面部分类方法,装置和程序

    公开(公告)号:US07835549B2

    公开(公告)日:2010-11-16

    申请号:US11368469

    申请日:2006-03-07

    IPC分类号: G06K9/00 G06K9/62

    CPC分类号: G06K9/00248 G06K9/6256

    摘要: A plurality of different facial images is used to cause a face classification apparatus to learn a characteristic feature of a face by using a machine-learning method. Each of the facial images includes a face which has the same direction and the same angle of inclination as those of a face included in each of the other facial images and each of the facial images is limited to an image of a specific facial region. For example, the facial region is a predetermined region including only a specific facial part other than a region below an upper lip to avoid an influence of a change in facial expressions. Alternatively, if the apparatus is used to detect a frontal face and to perform refined detection processing on the extracted face candidate, a region including only an eye or eyes, a nose and an upper lip is used as the facial region.

    摘要翻译: 使用多种不同的面部图像来使面部分类装置通过使用机器学习方法来学习面部的特征。 每个面部图像包括具有与包括在每个其他面部图像中的面部相同的方向和相同的倾斜角度的面部,并且将每个面部图像限于特定面部区域的图像。 例如,面部区域是仅包括除了上唇下方的区域以外的特定面部部分的预定区域,以避免面部表情变化的影响。 或者,如果使用该装置检测正面,并对所提取的面部候选进行精细检测处理,则仅使用眼睛,眼睛,鼻子和上唇的区域用作面部区域。

    Method, apparatus, and program for discriminating faces
    7.
    发明申请
    Method, apparatus, and program for discriminating faces 审中-公开
    用于区分面部的方法,装置和程序

    公开(公告)号:US20060222217A1

    公开(公告)日:2006-10-05

    申请号:US11393708

    申请日:2006-03-31

    IPC分类号: G06K9/00 G06K9/62

    CPC分类号: G06K9/6256 G06K9/00248

    摘要: 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.

    摘要翻译: 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。

    Learning method for classifiers, apparatus, and program for discriminating targets
    8.
    发明申请
    Learning method for classifiers, apparatus, and program for discriminating targets 审中-公开
    用于区分目标的分类器,仪器和程序的学习方法

    公开(公告)号:US20070047822A1

    公开(公告)日:2007-03-01

    申请号:US11513038

    申请日:2006-08-31

    IPC分类号: G06K9/62

    摘要: False positive detection of discrimination targets within images is reduced, while detection processes are accelerated. A partial image generating means generates a plurality of partial images by scanning a subwindow over an entire image. A candidate classifier judges whether each of the partial images represent a face (discrimination target), and candidate images that possibly represent faces are detected. A discrimination target discriminating means judges whether each of the candidate images represents a face. The candidate classifier has performed learning, employing reference sample images and in-plane rotated sample images.

    摘要翻译: 图像中鉴别目标的虚假阳性检测减少,而检测过程加快。 部分图像生成装置通过在整个图像上扫描子窗口来生成多个部分图像。 候选分类器判断每个部分图像是否表示面部(识别目标),并且检测可能表示面部的候选图像。 鉴别目标识别装置判断每个候选图像是否表示脸部。 候选分类器已经进行学习,采用参考样本图像和平面内旋转样本图像。

    Learning method of face classification apparatus, face classification method, apparatus and program
    9.
    发明申请
    Learning method of face classification apparatus, face classification method, apparatus and program 有权
    面部分类装置的学习方法,面部分类方法,装置和程序

    公开(公告)号:US20060215905A1

    公开(公告)日:2006-09-28

    申请号:US11368469

    申请日:2006-03-07

    IPC分类号: G06K9/62 G06K9/00

    CPC分类号: G06K9/00248 G06K9/6256

    摘要: A plurality of different facial images is used to cause a face classification apparatus to learn a characteristic feature of a face by using a machine-learning method. Each of the facial images includes a face which has the same direction and the same angle of inclination as those of a face included in each of the other facial images and each of the facial images is limited to an image of a specific facial region. For example, the facial region is a predetermined region including only a specific facial part other than a region below an upper lip to avoid an influence of a change in facial expressions. Alternatively, if the apparatus is used to detect a frontal face and to perform refined detection processing on the extracted face candidate, a region including only an eye or eyes, a nose and an upper lip is used as the facial region.

    摘要翻译: 使用多种不同的面部图像来使面部分类装置通过使用机器学习方法来学习面部的特征。 每个面部图像包括具有与包括在每个其他面部图像中的面部相同的方向和相同的倾斜角度的面部,并且将每个面部图像限于特定面部区域的图像。 例如,面部区域是仅包括除了上唇下方的区域以外的特定面部部分的预定区域,以避免面部表情变化的影响。 或者,如果使用该装置检测正面,并对所提取的面部候选进行精细检测处理,则仅使用眼睛,眼睛,鼻子和上唇的区域用作面部区域。

    Radiation image capturing system, controller, program, and radiation image capturing method
    10.
    发明授权
    Radiation image capturing system, controller, program, and radiation image capturing method 失效
    辐射图像捕获系统,控制器,程序和放射线图像捕获方法

    公开(公告)号:US07923687B2

    公开(公告)日:2011-04-12

    申请号:US12412059

    申请日:2009-03-26

    IPC分类号: G01J1/00

    摘要: A radiation image capturing system includes an image capturing apparatus for acquiring radiation image information of a subject by controlling a radiation source according to predetermined image capturing conditions, an image capturing order supply apparatus for supplying an image capturing order including the image capturing conditions, and a controller for controlling the image capturing apparatus according to the image capturing order. The controller includes an image capturing order changer for changing the image capturing order, an image capturing detail editor for editing image capturing details of the radiation image information acquired when the image capturing apparatus is controlled according to the image capturing order, and an image capturing detail supply unit for supplying the edited image capturing details.

    摘要翻译: 放射线图像拍摄系统包括:图像拍摄装置,用于通过根据预定图像拍摄条件控制辐射源来获取被摄体的放射线图像信息;图像捕获顺序提供装置,用于提供包括图像拍摄条件的图像拍摄顺序;以及 控制器,用于根据图像捕获顺序控制图像捕获装置。 控制器包括用于改变图像拍摄顺序的图像捕获顺序改变器,用于编辑根据图像拍摄顺序控制图像捕获装置时获取的放射线图像信息的图像捕获细节的图像捕获细节编辑器,以及图像捕获细节 供应单元,用于提供编辑的图像捕获细节。