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公开(公告)号：US07643659B2
公开(公告)日：2010-01-05
申请号：US11323654
申请日：2005-12-31
申请人： Jiangen Cao , Shu Li , Huaqi Zhang , Jin Wang
发明人： Jiangen Cao , Shu Li , Huaqi Zhang , Jin Wang
CPC分类号： G06K9/00604 , G06K9/00234 , G06K9/00248 , G06K9/00281 , G06K9/4614
摘要： Locating an eye includes generating an intensity response map by applying a 3-rectangle filter and applying K-mean clustering to the map to determine the eye. Locating an eye corner includes applying logarithm transform and grayscale stretching to generate a grayscale eye patch, generating a binary map of the patch by using a threshold based on a histogram of the patch, and estimating the eye corner by averaging coordinates weighted by minimal eigenvalues of spatial gradient matrices in a search region based on the binary map. Locating a mouth corner includes generating another intensity response map and generating another binary map using another threshold based on another histogram of the intensity response map. Locating a chin or a cheek includes applying angle constrained gradient analysis to reject locations that cannot be the chin or cheek. Locating a cheek further includes removing falsely detected cheeks by parabola fitting curves through the cheeks.
摘要翻译： 定位眼睛包括通过应用3矩形滤波器并将K均值聚类应用于地图来确定眼睛来产生强度响应图。 定位眼角包括应用对数变换和灰度拉伸以产生灰度眼睛斑块，通过使用基于斑块的直方图的阈值来生成斑块的二值图，并且通过平均坐标加权的坐标来估计眼角，该坐标是通过最小特征值 基于二进制图的搜索区域中的空间梯度矩阵。 定位嘴角包括产生另一个强度响应图并使用基于强度响应图的另一个直方图的另一个阈值生成另一二进制图。 定位下巴或脸颊包括应用角度约束梯度分析来拒绝不能是下巴或脸颊的位置。 定位脸颊进一步包括通过抛物线拟合曲线通过脸颊去除错误检测到的脸颊。
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公开(公告)号：US20070154096A1
公开(公告)日：2007-07-05
申请号：US11323654
申请日：2005-12-31
申请人： Jiangen Cao , Shu Li , Huaqi Zhang , Jin Wang
发明人： Jiangen Cao , Shu Li , Huaqi Zhang , Jin Wang
CPC分类号： G06K9/00604 , G06K9/00234 , G06K9/00248 , G06K9/00281 , G06K9/4614
摘要： Locating an eye includes generating an intensity response map by applying a 3-rectangle filter and applying K-mean clustering to the map to determine the eye. Locating an eye corner includes applying logarithm transform and grayscale stretching to generate a grayscale eye patch, generating a binary map of the patch by using a threshold based on a histogram of the patch, and estimating the eye corner by averaging coordinates weighted by minimal eigenvalues of spatial gradient matrices in a search region based on the binary map. Locating a mouth corner includes generating another intensity response map and generating another binary map using another threshold based on another histogram of the intensity response map. Locating a chin or a cheek includes applying angle constrained gradient analysis to reject locations that cannot be the chin or cheek. Locating a cheek further includes removing falsely detected cheeks by parabola fitting curves through the cheeks.
摘要翻译： 定位眼睛包括通过应用3矩形滤波器并将K均值聚类应用于地图来确定眼睛来产生强度响应图。 定位眼角包括应用对数变换和灰度拉伸以产生灰度眼睛斑块，通过使用基于斑块的直方图的阈值来生成斑块的二值图，并且通过平均坐标加权的坐标来估计眼角，该坐标是通过最小特征值 基于二进制图的搜索区域中的空间梯度矩阵。 定位嘴角包括产生另一个强度响应图并使用基于强度响应图的另一个直方图的另一个阈值生成另一二进制图。 定位下巴或脸颊包括应用角度约束梯度分析来拒绝不能是下巴或脸颊的位置。 定位脸颊进一步包括通过抛物线拟合曲线通过脸颊去除错误检测到的脸颊。
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公开(公告)号：US20070154095A1
公开(公告)日：2007-07-05
申请号：US11323653
申请日：2005-12-31
申请人： Jiangen Cao , Shu Li , Guogang Wang , Jin Wang
发明人： Jiangen Cao , Shu Li , Guogang Wang , Jin Wang
CPC分类号： G06K9/00234 , G06K9/00248 , G06K9/00281 , G06K9/00604 , G06K9/4614
摘要： A method for detecting a facial area on a color image includes (a) placing a search window on the color image, (b) determining if a center pixel of the search window is a skin color pixel, indicating that the search window is a possible facial area candidate, (c) applying a 3-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (d) applying a 4-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (e) if steps (b), (c), (d) all determine that the search window is a possible facial area candidate, applying an AdaBoost filter to the search window to determine if the search window is a facial area candidate, and (f) if step (e) determines that the search window is a facial area candidate, saving the location of the search window.
摘要翻译： 用于检测彩色图像上的面部区域的方法包括（a）在彩色图像上放置搜索窗口，（b）确定搜索窗口的中心像素是皮肤颜色像素，指示搜索窗口是可能的 面部区域候选者，（c）将三矩形滤波器应用于搜索窗口以确定搜索窗口是否是可能的面部区域候选，（d）将四矩形滤波器应用于搜索窗口以确定搜索窗口是否为 可能的面部区域候选者，（e）如果步骤（b），（c），（d）都确定搜索窗口是可能的面部区域候选者，则将AdaBoost过滤器应用于搜索窗口以确定搜索窗口是否为 面部候选人，以及（f）如果步骤（e）确定搜索窗口是面部区域候选者，则保存搜索窗口的位置。
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公开(公告)号：US07953253B2
公开(公告)日：2011-05-31
申请号：US11323653
申请日：2005-12-31
申请人： Jiangen Cao , Shu Li , Guogang Wang , Jin Wang
发明人： Jiangen Cao , Shu Li , Guogang Wang , Jin Wang
CPC分类号： G06K9/00234 , G06K9/00248 , G06K9/00281 , G06K9/00604 , G06K9/4614
摘要： A method for detecting a facial area on a color image includes (a) placing a search window on the color image, (b) determining if a center pixel of the search window is a skin color pixel, indicating that the search window is a possible facial area candidate, (c) applying a 3-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (d) applying a 4-rectangle filter to the search window to determine if the search window is a possible facial area candidate, (e) if steps (b), (c), (d) all determine that the search window is a possible facial area candidate, applying an AdaBoost filter to the search window to determine if the search window is a facial area candidate, and (f) if step (e) determines that the search window is a facial area candidate, saving the location of the search window.
摘要翻译： 用于检测彩色图像上的面部区域的方法包括（a）在彩色图像上放置搜索窗口，（b）确定搜索窗口的中心像素是皮肤颜色像素，指示搜索窗口是可能的 面部区域候选者，（c）将三矩形滤波器应用于搜索窗口以确定搜索窗口是否是可能的面部区域候选，（d）将四矩形滤波器应用于搜索窗口以确定搜索窗口是否为 可能的面部区域候选者，（e）如果步骤（b），（c），（d）都确定搜索窗口是可能的面部区域候选者，则将AdaBoost过滤器应用于搜索窗口以确定搜索窗口是否为 面部候选人，以及（f）如果步骤（e）确定搜索窗口是面部区域候选者，则保存搜索窗口的位置。
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公开(公告)号：US08180180B2
公开(公告)日：2012-05-15
申请号：US12318370
申请日：2008-12-29
申请人： Huaqi Zhang , Ding Wang , Jin Wang
发明人： Huaqi Zhang , Ding Wang , Jin Wang
CPC分类号： G06T3/00
摘要： This invention is a method applicable to an image processing device, which includes the steps of providing a preprocess module for extracting a high-frequency portion of an image inputted into the device, extracting a gradient of the image and decomposing the image into plane and edge regions according to a predetermined fixed threshold, and providing a composite up-scaling module for executing the magnification processes on the image and the high-frequency portion thereof respectively, wherein the magnification process of plane regions of the image and the high-frequency portion is based on a simple interpolation while the edge regions of the image and the high-frequency portion is based on both a smart interpolation and the simple interpolation. The magnification results of the image and the high-frequency portion are then processed by a fusion process, so as to output an image having sharp but not blocky edges, rich details and strong contrast.
摘要翻译： 本发明是适用于图像处理装置的方法，其包括以下步骤：提供用于提取输入到装置中的图像的高频部分的预处理模块，提取图像的梯度并将图像分解成平面和边缘 区域，并且提供用于分别对图像和高频部分执行放大处理的复合上调模块，其中图像和高频部分的平面区域的放大处理是 基于简单的插值，而图像和高频部分的边缘区域基于智能插值和简单插值。 然后通过融合处理处理图像和高频部分的放大结果，以便输出具有锐利但不块状边缘的图像，丰富的细节和强烈的对比度。
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公开(公告)号：US20100166334A1
公开(公告)日：2010-07-01
申请号：US12318370
申请日：2008-12-29
申请人： Huaqi Zhang , Ding Wang , Jin Wang
发明人： Huaqi Zhang , Ding Wang , Jin Wang
CPC分类号： G06T3/00
摘要： This invention is a method applicable to an image processing device, which includes the steps of providing a preprocess module for extracting a high-frequency portion of an image inputted into the device, extracting a gradient of the image and decomposing the image into plane and edge regions according to a predetermined fixed threshold, and providing a composite up-scaling module for executing the magnification processes on the image and the high-frequency portion thereof respectively, wherein the magnification process of plane regions of the image and the high-frequency portion is based on a simple interpolation while the edge regions of the image and the high-frequency portion is based on both a smart interpolation and the simple interpolation. The magnification results of the image and the high-frequency portion are then processed by a fusion process, so as to output an image having sharp but not blocky edges, rich details and strong contrast.
摘要翻译： 本发明是适用于图像处理装置的方法，其包括以下步骤：提供用于提取输入到装置中的图像的高频部分的预处理模块，提取图像的梯度并将图像分解成平面和边缘 区域，并且提供用于分别对图像和高频部分执行放大处理的复合上调模块，其中图像和高频部分的平面区域的放大处理是 基于简单的插值，而图像和高频部分的边缘区域基于智能插值和简单插值。 然后通过融合处理处理图像和高频部分的放大结果，以便输出具有锐利但不块状边缘的图像，丰富的细节和强烈的对比度。
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7.发明授权公开(公告)号：US08433107B1
公开(公告)日：2013-04-30
申请号：US13338272
申请日：2011-12-28
申请人： HuaQi Zhang , Jin Wang
发明人： HuaQi Zhang , Jin Wang
CPC分类号： G06T5/005 , G06K9/00281 , G06T2207/30201
摘要： A method of enhancing a nose area of an image containing a face with a nose visible on the face includes loading the image into a computing device having a processor. The processor defines the nose area on the image, the nose area including a highlighted region corresponding to a middle of the nose, a first shaded region being located on a left side of the nose and bordering the left side of the nose, and a second shaded region being located on a right side of the nose and bordering the right side of the nose. The processor next performs an image enhancement process on the image to create an enhanced image, the image enhancement process including increasing the brightness of the highlighted region and decreasing the brightness of the first shaded region and the second shaded region. The processor then outputs the enhanced image.
摘要翻译： 增强包含具有在脸部上可见的鼻子的脸部的图像的鼻部区域的方法包括将图像加载到具有处理器的计算设备中。 处理器定义图像上的鼻部区域，鼻部区域包括对应于鼻子中部的高亮区域，第一阴影区域位于鼻子的左侧并且与鼻子的左侧邻接，并且第二阴影区域 阴影区域位于鼻子的右侧并且与鼻子的右侧相邻。 处理器接下来对图像执行图像增强处理以创建增强图像，图像增强处理包括增加突出显示区域的亮度并降低第一阴影区域和第二阴影区域的亮度。 然后处理器输出增强图像。
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8.发明申请Method for detecting facial expression and repairing smile face of portrait photo 有权检测面部表情和修复肖像照片的笑脸的方法公开(公告)号：US20090285455A1
公开(公告)日：2009-11-19
申请号：US12153297
申请日：2008-05-16
IPC分类号： G06K9/00
CPC分类号： G06K9/00281 , G06K9/00308 , G06T11/00
摘要： A method for detecting a facial expression and repairing a smile face of a portrait photo includes the steps of: detecting a location and a range of a mouth region in an inputted portrait photo; capturing a patch in the mouth region and a predetermined peripheral range thereof; executing a comparison process to a smile state or a stiff state of the mouth region in the patch by a mouth state classifier; executing a calculation process to a repaired region of the mouth region when the mouth region is determined to be in the stiff state, in order to calculate a location of a plurality of feature points in the repaired region of the mouth region; and executing an image warping process to the location of the feature points and adjacent pixels thereof, for generating a portrait photo showing a smile state.
摘要翻译： 用于检测人脸照片的脸部表情和修复微笑脸部的方法包括以下步骤：检测所输入的肖像照片中的口部区域的位置和范围; 在嘴区域和其预定的周边范围内捕获贴片; 通过嘴状态分类器对贴片中的口部区域的微笑状态或僵硬状态执行比较处理; 为了计算口部区域的修复区域中的多个特征点的位置，对嘴部区域的判定为处于刚性状态的口部区域进行计算处理， 以及对其特征点和相邻像素的位置执行图像变形处理，以产生显示微笑状态的肖像照片。
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9.发明授权Method for detecting facial expression and repairing smile face of portrait photo 有权检测面部表情和修复肖像照片的笑脸的方法公开(公告)号：US08170298B2
公开(公告)日：2012-05-01
申请号：US12153297
申请日：2008-05-16
IPC分类号： G06K9/00
CPC分类号： G06K9/00281 , G06K9/00308 , G06T11/00
摘要： A method for detecting a facial expression and repairing a smile face of a portrait photo includes the steps of: detecting a location and a range of a mouth region in an inputted portrait photo; capturing a patch in the mouth region and a predetermined peripheral range thereof; executing a comparison process to a smile state or a stiff state of the mouth region in the patch by a mouth state classifier; executing a calculation process to a repaired region of the mouth region when the mouth region is determined to be in the stiff state, in order to calculate a location of a plurality of feature points in the repaired region of the mouth region; and executing an image warping process to the location of the feature points and adjacent pixels thereof, for generating a portrait photo showing a smile state.
摘要翻译： 用于检测人脸照片的脸部表情和修复微笑脸部的方法包括以下步骤：检测所输入的肖像照片中的口部区域的位置和范围; 在嘴区域和其预定的周边范围内捕获贴片; 通过嘴状态分类器对贴片中的口部区域的微笑状态或僵硬状态执行比较处理; 为了计算口部区域的修复区域中的多个特征点的位置，对嘴部区域的判定为处于刚性状态的口部区域进行计算处理， 以及对其特征点和相邻像素的位置执行图像变形处理，以产生显示微笑状态的肖像照片。
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10.发明申请METHOD FOR ORGANIZING A DIGITAL IMAGE ACCORDING TO FACIAL FEATURES OF MEMBERS IN THE DIGITAL IMAGE 审中-公开根据数字图像中的会员特征组织数字图像的方法公开(公告)号：US20110235924A1
公开(公告)日：2011-09-29
申请号：US12732180
申请日：2010-03-25
申请人： Xian-Ji Wang , Kun Yu , Shu Li , Jin Wang
发明人： Xian-Ji Wang , Kun Yu , Shu Li , Jin Wang
CPC分类号： G06K9/00677
摘要： After receiving a digital image, check if the digital image contains a predetermined object. If the digital image contains the predetermined object, extract object features from the predetermined object, then compare the object features with common features of each of the predetermined identifications. If the object features match the common features of one of the predetermined identifications, store the digital image into a database dedicated to the predetermined identification. If the object features do not match the common features of any of the predetermined identifications, register the predetermined object with a new identification. If the new identification is the same as one of the predetermined identifications, store the digital image into a database dedicated to the predetermined identification. If the new identification is different from all of the predetermined identifications, store the digital image into a database dedicated to the new identification.
摘要翻译： 收到数字图像后，检查数字图像是否包含预定对象。 如果数字图像包含预定对象，则从预定对象提取对象特征，然后将对象特征与每个预定标识的共同特征进行比较。 如果对象特征与预定标识之一的公共特征相匹配，则将数字图像存储到专用于预定标识的数据库中。 如果对象特征与任何预定标识的共同特征不匹配，则用新的标识登记预定对象。 如果新标识与预定标识之一相同，则将数字图像存储到专用于预定标识的数据库中。 如果新标识与所有预定标识不同，则将数字图像存储到专用于新标识的数据库中。
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