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    • 1. 发明授权
    • Segmenting human hairs and faces
    • 分割人的头发和面孔
    • US08638993B2
    • 2014-01-28
    • US13066112
    • 2011-04-05
    • Kuang-chih LeeRobinson PiramuthuKatharine IpDaniel Prochazka
    • Kuang-chih LeeRobinson PiramuthuKatharine IpDaniel Prochazka
    • G06K9/00
    • G06K9/00281G06K9/00234G06K9/46
    • Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.
    • 公开了用于分割彩色图像中的人发和脸部的系统,其具有用于制造和使用它们的方法和过程。 图像可能会在脸部区域周围裁剪,并且大致居中。 可选地,可以确定输入图像的照明环境。 如果在黑暗环境下拍摄图像,或者脸部和头发区域与背景之间的对比度较低,则可能会应用额外的图像增强。 可以执行用于识别姿态角度和下巴轮廓的子过程。 可以表示通过使用多种线索(如肤色,姿态角度,脸部形状和轮廓信息)的面部的初步面具。 可以创建通过使用上述多重线索加上纹理和头发形状信息的初始头发面罩。 初步的面部和头发面罩使用多种技术进行全球精炼。
    • 2. 发明申请
    • Systems and methods for segmenting human hairs and faces in color images
    • 用于将人的头发和脸部分割成彩色图像的系统和方法
    • US20110299776A1
    • 2011-12-08
    • US13066112
    • 2011-04-05
    • Kuang-chih LeeRobinson PiramuthuKatharine IpDaniel Prochazka
    • Kuang-chih LeeRobinson PiramuthuKatharine IpDaniel Prochazka
    • G06K9/34
    • G06K9/00281G06K9/00234G06K9/46
    • Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.
    • 公开了用于分割彩色图像中的人发和脸部的系统,其具有用于制造和使用它们的方法和过程。 图像可能会在脸部区域周围裁剪,并且大致居中。 可选地,可以确定输入图像的照明环境。 如果在黑暗环境下拍摄图像,或者脸部和头发区域与背景之间的对比度较低,则可能会应用额外的图像增强。 可以执行用于识别姿态角度和下巴轮廓的子过程。 可以表示通过使用多种线索(如肤色,姿态角度,脸部形状和轮廓信息)的面部的初步面具。 可以创建通过使用上述多重线索加上纹理和头发形状信息的初始头发面罩。 初步的面部和头发面罩使用多种技术进行全球精炼。
    • 3. 发明申请
    • Segmenting Human Hairs and Faces
    • 分割人力和面孔
    • US20140119642A1
    • 2014-05-01
    • US14137771
    • 2013-12-20
    • Kuang-chih LeeRobinson PiramuthuKatharine IpDaniel Prochazka
    • Kuang-chih LeeRobinson PiramuthuKatharine IpDaniel Prochazka
    • G06K9/00G06K9/46
    • G06K9/00281G06K9/00234G06K9/46
    • Systems for segmenting human hairs and faces in color images are disclosed, with methods and processes for making and using the same. The image may be cropped around the face area and roughly centered. Optionally, the illumination environment of the input image may be determined. If the image is taken under dark environment or the contrast between the face and hair regions and background is low, an extra image enhancement may be applied. Sub-processes for identifying the pose angle and chin contours may be performed. A preliminary mask for the face by using multiple cues, such as skin color, pose angle, face shape and contour information can be represented. An initial hair mask by using the abovementioned multiple cues plus texture and hair shape information may be created. The preliminary face and hair masks are globally refined using multiple techniques.
    • 公开了用于分割彩色图像中的人发和脸部的系统,其具有用于制造和使用它们的方法和过程。 图像可能会在脸部区域周围裁剪,并且大致居中。 可选地,可以确定输入图像的照明环境。 如果在黑暗环境下拍摄图像,或者脸部和头发区域与背景之间的对比度较低,则可能会应用额外的图像增强。 可以执行用于识别姿态角度和下巴轮廓的子过程。 可以表示通过使用多种线索(如肤色,姿态角度,脸部形状和轮廓信息)的面部的初步面具。 可以创建通过使用上述多重线索加上纹理和头发形状信息的初始头发面罩。 初步的面部和头发面罩使用多种技术进行全球精炼。
    • 5. 发明授权
    • Manifold learning and matting
    • 歧管学习和消光
    • US09311567B2
    • 2016-04-12
    • US13068460
    • 2011-05-10
    • Kuang-chih LeeRobinson Piramuthu
    • Kuang-chih LeeRobinson Piramuthu
    • G06K9/62G06T7/00
    • G06K9/6252G06T7/11G06T7/143G06T7/194
    • Systems for manifold learning for matting are disclosed, with methods and processes for making and using the same. The embodiments disclosed herein provide a closed form solution for solving the matting problem by a manifold learning technique, Local Linear Embedding. The transition from foreground to background is characterized by color and texture variations, which should be captured in the alpha map. This intuition implies that neighborhood relationship in the feature space should be preserved in the alpha map. By applying Local Linear Embedding using the disclosed embodiments, the local image variations can be preserved in the embedded manifold, which is the resulting alpha map. Without any strong assumption, such as color line model, the disclosed embodiments can be easily extended to incorporate other features beyond RGB color features, such as gradient and texture information.
    • 公开了用于消光的流体学习系统,其具有用于制造和使用其的方法和过程。 本文公开的实施例提供了一种用于通过歧管学习技术局部线性嵌入来解决消光问题的闭合形式解决方案。 从前景到背景的转换的特点是颜色和纹理变化,应该在alpha图中捕获。 这种直觉意味着特征空间中的邻域关系应该保留在alpha图中。 通过使用所公开的实施例应用局部线性嵌入,局部图像变化可以保留在嵌入式多维数据集中,这是所得到的α图。 没有任何强烈的假设,例如颜色线模型,所公开的实施例可以容易地扩展以包含超出RGB颜色特征(诸如梯度和纹理信息)的其他特征。
    • 6. 发明申请
    • Systems and methods for manifold learning for matting
    • 用于消光的歧管学习的系统和方法
    • US20110274344A1
    • 2011-11-10
    • US13068460
    • 2011-05-10
    • Kuang-chih LeeRobinson Piramuthu
    • Kuang-chih LeeRobinson Piramuthu
    • G06K9/62
    • G06K9/6252G06T7/11G06T7/143G06T7/194
    • Systems for manifold learning for matting are disclosed, with methods and processes for making and using the same. The embodiments disclosed herein provide a closed form solution for solving the matting problem by a manifold learning technique, Local Linear Embedding. The transition from foreground to background is characterized by color and texture variations, which should be captured in the alpha map. This intuition implies that neighborhood relationship in the feature space should be preserved in the alpha map. By applying Local Linear Embedding using the disclosed embodiments, the local image variations can be preserved in the embedded manifold, which is the resulting alpha map. Without any strong assumption, such as color line model, the disclosed embodiments can be easily extended to incorporate other features beyond RGB color features, such as gradient and texture information.
    • 公开了用于消光的流体学习系统,其具有用于制造和使用其的方法和过程。 本文公开的实施例提供了一种用于通过歧管学习技术局部线性嵌入来解决消光问题的闭合形式解决方案。 从前景到背景的转换的特点是颜色和纹理变化,应该在alpha图中捕获。 这种直觉意味着特征空间中的邻域关系应该保留在alpha图中。 通过使用所公开的实施例应用局部线性嵌入,局部图像变化可以保留在嵌入式多维数据集中,这是所得到的α图。 没有任何强烈的假设,例如颜色线模型,所公开的实施例可以容易地扩展以包含超出RGB颜色特征(诸如梯度和纹理信息)的其他特征。