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    • 1. 发明授权
    • Location-weighted color masking
    • 位置加权色彩掩蔽
    • US08340406B1
    • 2012-12-25
    • US12197913
    • 2008-08-25
    • Jue WangJen-Chan Chien
    • Jue WangJen-Chan Chien
    • G06K9/00
    • G06K9/38G06T7/11G06T2207/10024G06T2207/20076H04N1/62
    • A method, system, and computer-readable storage medium are disclosed for generating a location-weighted mask based on a color model comprising spatial dimensions. In one embodiment, a selection of at least one pixel in an input image is received, wherein the selection of the at least one pixel comprises a color and a location within the input image. A color model may be determined based on the color and the location of the at least one pixel, wherein the color model comprises one or more truncated Gaussian functions. A mask may be generated based on the color model. The mask may indicate a degree of membership in the mask for each pixel in the input image as a function of a similarity in color to the at least one pixel in the selection and a proximity to the location of the at least one pixel in the selection.
    • 公开了一种基于包括空间维度的颜色模型来生成位置加权掩模的方法,系统和计算机可读存储介质。 在一个实施例中,接收对输入图像中的至少一个像素的选择,其中至少一个像素的选择包括输入图像内的颜色和位置。 可以基于颜色和至少一个像素的位置来确定颜色模型,其中颜色模型包括一个或多个截断的高斯函数。 可以基于颜色模型生成蒙版。 掩模可以指示对于输入图像中的每个像素的掩模中的隶属度的程度,作为与选择中的至少一个像素的颜色的相似度的函数以及与选择中的至少一个像素的位置的接近度的函数 。
    • 2. 发明申请
    • Seam-Based Reduction and Expansion of Images With Color-Weighted Priority
    • 基于接缝的减少和扩展具有加权优先权的图像
    • US20100027876A1
    • 2010-02-04
    • US12184060
    • 2008-07-31
    • Shmuel AvidanJen-Chan ChienChintan IntwalaJue Wang
    • Shmuel AvidanJen-Chan ChienChintan IntwalaJue Wang
    • G06K9/32G06K9/00
    • H04N1/3872G06T3/0012H04N1/393
    • A system and method for expansion and reduction of images uses an absolute value associated with each pixel of an input image (e.g., a color and/or intensity value) to determine a respective energy value for each pixel. For example, a given color or range of colors (e.g., skin tones, or other high-priority colors) may be assigned higher energy values than other colors and/or color ranges, and may be protected during image reduction and/or expansion. These energy values may be used to determine a cost associated with various seams of the image, which may represent the priority of the seams in the image. One or more low-cost seams may be identified for removal or replication to produce a resized image. The methods may be used in conjunction with an automated skin tone detector or a user interface that allows selection of one or more high priority colors or color ranges.
    • 用于扩展和缩小图像的系统和方法使用与输入图像的每个像素(例如,颜色和/或强度值)相关联的绝对值来确定每个像素的相应能量值。 例如,给定的颜色或范围的颜色(例如,肤色或其他高优先级颜色)可被赋予比其它颜色和/或颜色范围更高的能量值,并且可以在图像缩小和/或扩展期间被保护。 这些能量值可以用于确定与图像的各种接缝相关联的成本,其可以表示图像中的接缝的优先级。 可以识别一个或多个低成本接缝用于去除或复制以产生调整大小的图像。 所述方法可以与允许选择一个或多个高优先级颜色或颜色范围的自动肤色检测器或用户界面结合使用。
    • 6. 发明授权
    • System and method for automatic skin tone detection in images
    • 图像中自动肤色检测的系统和方法
    • US08406482B1
    • 2013-03-26
    • US12200476
    • 2008-08-28
    • Jen-Chan ChienJue Wang
    • Jen-Chan ChienJue Wang
    • G06K9/00G06K9/62
    • G06K9/00362G06K9/4652
    • Systems, methods, and computer-readable storage media for automatically detecting skin tones in an input image are disclosed. An initial skin tone mask for the image may be created dependent on a general skin tone model. An upper threshold and/or a lower threshold may be applied to the initial skin tone mask to identify pixels most likely to be skin pixels and least likely to be skin pixels, respectively. These pixels may be used to produce an image-specific skin tone model, including one or more truncated Gaussian models for skin pixels and/or non-skin pixels defined in a three-dimensional color space. The image-specific skin tone model may be applied to the image to generate a final skin tone mask. Skin tone detection may be automatically or selectively performed in conjunction with image editing or image feature identification operations to target or exclude skin pixels or non-skin pixels during execution of the operations.
    • 公开了用于自动检测输入图像中的肤色的系统,方法和计算机可读存储介质。 可以根据一般肤色模型创建图像的初始肤色蒙版。 上限阈值和/或较低阈值可以应用于初始肤色蒙版以分别识别最可能是皮肤像素并且最不可能是皮肤像素的像素。 这些像素可用于产生特定于图像的肤色模型,包括用于在三维颜色空间中定义的皮肤像素和/或非皮肤像素的一个或多个截断高斯模型。 图像特定肤色模型可以应用于图像以产生最终的肤色蒙版。 可以结合图像编辑或图像特征识别操作来自动或选择性地执行肤色检测,以在操作的执行期间靶向或排除皮肤像素或非皮肤像素。
    • 9. 发明授权
    • Seam-based reduction and expansion of images with color-weighted priority
    • 具有颜色加权优先权的基于接缝的缩小和扩展图像
    • US08290300B2
    • 2012-10-16
    • US12184060
    • 2008-07-31
    • Shmuel AvidanJen-Chan ChienChintan IntwalaJue Wang
    • Shmuel AvidanJen-Chan ChienChintan IntwalaJue Wang
    • G06K9/32
    • H04N1/3872G06T3/0012H04N1/393
    • A system and method for expansion and reduction of images uses an absolute value associated with each pixel of an input image (e.g., a color and/or intensity value) to determine a respective energy value for each pixel. For example, a given color or range of colors (e.g., skin tones, or other high-priority colors) may be assigned higher energy values than other colors and/or color ranges, and may be protected during image reduction and/or expansion. These energy values may be used to determine a cost associated with various seams of the image, which may represent the priority of the seams in the image. One or more low-cost seams may be identified for removal or replication to produce a resized image. The methods may be used in conjunction with an automated skin tone detector or a user interface that allows selection of one or more high priority colors or color ranges.
    • 用于扩展和缩小图像的系统和方法使用与输入图像的每个像素(例如,颜色和/或强度值)相关联的绝对值来确定每个像素的相应能量值。 例如,给定的颜色或范围的颜色(例如,肤色或其他高优先级颜色)可被赋予比其他颜色和/或颜色范围更高的能量值,并且可以在图像缩小和/或扩展期间被保护。 这些能量值可以用于确定与图像的各种接缝相关联的成本,其可以表示图像中的接缝的优先级。 可以识别一个或多个低成本接缝用于去除或复制以产生调整大小的图像。 所述方法可以与允许选择一个或多个高优先级颜色或颜色范围的自动肤色检测器或用户界面结合使用。
    • 10. 发明授权
    • Temporal matte filter for video matting
    • 用于视频消光的时间无光泽滤光片
    • US08792718B2
    • 2014-07-29
    • US13538712
    • 2012-06-29
    • Xue BaiJue WangDavid P. Simons
    • Xue BaiJue WangDavid P. Simons
    • G06K9/34G06K9/48G06K9/40
    • H04N5/21G06T7/11G06T7/174G06T7/194G06T2207/10016G06T2207/10024G06T2207/20104G06T2207/20161
    • Methods and apparatus for temporal matte filtering. Temporal matte filtering methods are described that improve the temporal coherence of alpha mattes for a video sequence while maintaining the matte structures on individual frames. The temporal matte filter may implement a level-set-based matte averaging method. In the level-set-based matte averaging method, two or more input alpha mattes are obtained. Level set curves are generated for the two or more alpha mattes. An averaged level set is computed from the two or more level sets according to a distance-transform-based technique. A temporally smoothed alpha matte may then be reconstructed by interpolating pixel alpha values between the inner and outer level set curves of the averaged level set. The alpha mattes can be optionally warped towards a center frame according to an optical flow technique before the averaging operation performed by the temporal matte filter.
    • 时间哑光滤波的方法和装置。 描述了时间无光泽滤波方法,其改善了视频序列的α遮罩的时间相干性,同时保持了单个帧上的消光结构。 时间哑光滤波器可以实现基于电平集的无光均衡方法。 在基于水平集的遮罩平均方法中,获得两个或更多个输入alpha遮罩。 为两个或更多个alpha遮罩生成级别设置曲线。 根据基于距离变换的技术,从两个或多个级别集计算平均级别集合。 然后可以通过在平均水平集的内部和外部水平设置曲线之间内插像素α值来重构时间平滑的阿尔法无光泽。 在由时间哑光滤波器执行的平均化操作之前,可以根据光学流技术,将alpha哑光可选地朝向中心框架弯曲。