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    • 1. 发明授权
    • Image processing method, image processing apparatus, and computer-readable recording medium storing image processing program
    • 图像处理方法,图像处理装置和存储图像处理程序的计算机可读记录介质
    • US07756343B2
    • 2010-07-13
    • US11525839
    • 2006-09-25
    • Yuanzhong LiWataru Ito
    • Yuanzhong LiWataru Ito
    • G06K9/00G06K9/40A61B18/18
    • G06K9/00248G06K9/621G06K9/624G06T5/005G06T2207/30201
    • An unnecessary component such as acne is removed completely from a predetermined structure such as a face in a photograph image without manual operation and skills. An acne removal unit fits to a face region as the structure in the image a mathematical model generated according to a statistical method such as AAM using sample images representing the structure without the component to be removed, and an image reconstruction unit reconstructs an image of the face region based on parameters corresponding to the face region obtained by the fitting of the model. An image is then generated by replacing the face region with the reconstructed image. Since the mathematical model has been generated from the sample images of human faces without acne, the model does not include acne. Therefore, the reconstructed face image generated by fitting the model to the face region does not include acne.
    • 诸如痤疮的不必要的部件被完全从诸如照片图像中的脸部的预定结构中去除而没有手动操作和技能。 痤疮去除单元适合作为图像中的结构的面部区域,根据诸如AAM的统计方法生成的数学模型,使用表示没有要去除的组分的结构的样本图像,并且图像重建单元重建图像的图像 基于通过拟合模型获得的与面部区域相对应的参数的面部区域。 然后通过用重建图像替换面部区域来生成图像。 由于数学模型是从没有痤疮的人脸样本图像生成的,因此该模型不包括痤疮。 因此,通过将模型拟合到面部区域而产生的重建面部图像不包括痤疮。
    • 2. 发明申请
    • Image processing method, image processing apparatus, and computer-readable recording medium storing image processing program
    • 图像处理方法,图像处理装置和存储图像处理程序的计算机可读记录介质
    • US20070071347A1
    • 2007-03-29
    • US11525839
    • 2006-09-25
    • Yuanzhong LiWataru Ito
    • Yuanzhong LiWataru Ito
    • G06K9/40
    • G06K9/00248G06K9/621G06K9/624G06T5/005G06T2207/30201
    • An unnecessary component such as acne is removed completely from a predetermined structure such as a face in a photograph image without manual operation and skills. An acne removal unit fits to a face region as the structure in the image a mathematical model generated according to a statistical method such as AAM using sample images representing the structure without the component to be removed, and an image reconstruction unit reconstructs an image of the face region based on parameters corresponding to the face region obtained by the fitting of the model. An image is then generated by replacing the face region with the reconstructed image. Since the mathematical model has been generated from the sample images of human faces without acne, the model does not include acne. Therefore, the reconstructed face image generated by fitting the model to the face region does not include acne.
    • 诸如痤疮的不必要的部件被完全从诸如照片图像中的脸部的预定结构中去除而没有手动操作和技能。 痤疮去除单元适合作为图像中的结构的面部区域,根据诸如AAM的统计方法生成的数学模型,使用代表没有要去除的组分的结构的样本图像,并且图像重建单元重建图像的图像 基于通过拟合模型获得的与面部区域相对应的参数的面部区域。 然后通过用重建图像替换面部区域来生成图像。 由于数学模型是从没有痤疮的人脸样本图像生成的,因此该模型不包括痤疮。 因此,通过将模型拟合到面部区域而产生的重建面部图像不包括痤疮。
    • 5. 发明授权
    • Image processing method, image processing apparatus, and computer-readable recording medium storing image processing program
    • 图像处理方法,图像处理装置和存储图像处理程序的计算机可读记录介质
    • US07751640B2
    • 2010-07-06
    • US11527601
    • 2006-09-27
    • Yuanzhong LiWataru Ito
    • Yuanzhong LiWataru Ito
    • G06K9/40H04N1/40
    • H04N1/4092G06K9/00248G06K9/621
    • Sharpness is adjusted for more appropriately representing a predetermined structure in an image. A parameter acquisition unit obtains a weighting parameter for a principal component representing a degree of sharpness in a face region detected by a face detection unit as an example of the predetermined structure in the image, by fitting to the face region a mathematical model generated by a statistical method such as AAM based on a plurality of sample images representing human faces in different degrees of sharpness. Based on a value of the parameter, sharpness is adjusted in at least a part of the image. For example, a parameter changing unit changes the value of the parameter to a preset optimal face sharpness value, and an image reconstruction unit reconstructs the image based on the parameter having been changed and outputs the image having been subjected to the sharpness adjustment processing.
    • 调整锐度以更适当地表示图像中的预定结构。 参数获取单元通过将由面部检测单元检测到的面部区域的清晰度表示为图像中的预定结构的示例的主成分的加权参数,通过将面部区域拟合为由 统计方法,例如基于表示不同锐度度的人脸的多个样本图像的AAM。 根据该参数的值,在图像的至少一部分中调整锐度。 例如,参数改变单元将参数的值改变为预设的最佳面部锐度值,并且图像重建单元基于已经改变的参数来重建图像,并输出已经进行了锐度调整处理的图像。
    • 8. 发明申请
    • Image processing method, image processing apparatus, and computer-readable recording medium storing image processing program
    • 图像处理方法,图像处理装置和存储图像处理程序的计算机可读记录介质
    • US20070070440A1
    • 2007-03-29
    • US11527601
    • 2006-09-27
    • Yuanzhong LiWataru Ito
    • Yuanzhong LiWataru Ito
    • H04N1/40
    • H04N1/4092G06K9/00248G06K9/621
    • Sharpness is adjusted for more appropriately representing a predetermined structure in an image. A parameter acquisition unit obtains a weighting parameter for a principal component representing a degree of sharpness in a face region detected by a face detection unit as an example of the predetermined structure in the image, by fitting to the face region a mathematical model generated by a statistical method such as AAM based on a plurality of sample images representing human faces in different degrees of sharpness. Based on a value of the parameter, sharpness is adjusted in at least a part of the image. For example, a parameter changing unit changes the value of the parameter to a preset optimal face sharpness value, and an image reconstruction unit reconstructs the image based on the parameter having been changed and outputs the image having been subjected to the sharpness adjustment processing.
    • 调整锐度以更适当地表示图像中的预定结构。 参数获取单元通过将由面部检测单元检测到的面部区域的清晰度表示为图像中的预定结构的示例的主成分的加权参数,通过将面部区域拟合为由 统计方法,例如基于表示不同锐度度的人脸的多个样本图像的AAM。 根据该参数的值,在图像的至少一部分中调整锐度。 例如,参数改变单元将参数的值改变为预设的最佳面部锐度值,并且图像重建单元基于已经改变的参数来重建图像,并输出已经进行了锐度调整处理的图像。
    • 10. 发明授权
    • Method and apparatus for judging direction of blur and computer-readable recording medium storing a program therefor
    • 用于判断模糊方向的方法和装置以及存储其程序的计算机可读记录介质
    • US07848588B2
    • 2010-12-07
    • US11525073
    • 2006-09-22
    • Yuanzhong LiWataru Ito
    • Yuanzhong LiWataru Ito
    • G06K9/40G06K9/00H04N5/228
    • G06T5/003G06K9/00228G06K9/621G06T7/13G06T2207/20201G06T2207/30201
    • Without use of special hardware such as an angular rate sensor, a direction of blur can be judged with high accuracy. A parameter acquisition unit obtains weighting parameters for principal components representing directions of blur in a predetermined structure in an image by fitting to the structure a mathematical model generated by a method of Active Appearance Models (AAM) using a plurality of sample images representing the structure in different conditions of blur. A blur direction judgment unit judges the direction of blur based on the weighting parameters, and a blur width acquisition unit finds a width of blur based on an edge component found by an edge detection unit in the direction perpendicular to the direction of blur. A blur correction unit corrects the blur in the image based on the direction and the width of blur.
    • 不使用诸如角速率传感器的特殊硬件,可以高精度地判断模糊的方向。 参数获取单元通过使用多个表示所述结构中的结构的主体外观模型(AAM)的方法生成的数学模型来适应所述结构,获得表示图像中的预定结构中的模糊方向的主要部分的加权参数 不同的模糊条件。 模糊方向判断单元基于加权参数来判断模糊的方向,并且模糊宽度获取单元基于边缘检测单元在与模糊方向垂直的方向上找到的边缘分量来找到模糊的宽度。 模糊校正单元根据模糊的方向和宽度校正图像中的模糊。