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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：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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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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