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    • 2. 发明申请
    • METHOD FOR PRODUCING IMAGE WITH DEPTH BY USING 2D IMAGES
    • 使用2D图像生成深度图像的方法
    • US20090169057A1
    • 2009-07-02
    • US12262158
    • 2008-10-30
    • Jeng-Feng WuWen-Chao ChenCheng-Yuan Tang
    • Jeng-Feng WuWen-Chao ChenCheng-Yuan Tang
    • G06K9/00
    • G06T7/596G06T2207/10012
    • A method for producing an image with depth by using 2D image includes obtaining a set of internal parameters of a camera. The camera takes at least a first and a second 2D images with a small shift. The first 2D image has N depths, and N≧2. Several sets of external parameters of the camera corresponding to the 2D images are estimated. A 3D information respectively corresponding to the N depths of the first 2D image at each pixel or block is calculated. A proper depth of each pixel or image block is determined. Through the internal parameters, the external parameters, and the N depths, each pixel or image block of the first 2D image is projected onto N positions of the second 2D image, so as to perform a matching comparison analysis with the second 2D image, thereby determining the proper depth from the N depths.
    • 通过使用2D图像来生成具有深度的图像的方法包括获得相机的一组内部参数。 相机拍摄至少具有小偏移的第一和第二2D图像。 第一个2D图像有N个深度,N> = 2。 估计对应于2D图像的摄像机的几组外部参数。 计算分别对应于每个像素或块处的第一2D图像的N个深度的3D信息。 确定每个像素或图像块的适当深度。 通过内部参数,外部参数和N个深度将第一2D图像的每个像素或图像块投影到第二2D图像的N个位置上,以便与第二2D图像进行匹配比较分析,由此 从N个深度确定适当的深度。
    • 4. 发明申请
    • Three-dimensional face recognition system and method
    • 三维人脸识别系统及方法
    • US20070152037A1
    • 2007-07-05
    • US11450581
    • 2006-06-12
    • Wen-Chao ChenTzung-Han LinHong-Long Chou
    • Wen-Chao ChenTzung-Han LinHong-Long Chou
    • G06K5/00G10H1/00
    • G06K9/00281
    • A 3-D face recognition system has a first data storing module for storing 3-D face model data and 2-D face image data; an input unit for inputting 3-D face model data and 2-D face image data; a signal converting module for converting analog data of the 3-D face model data and 2-D face image data to digital data; a second data storing module for storing the digital data; a microprocessing module for analyzing geometric characteristics of points in the 3-D face model data stored in the first and second data storing module to determine feature points of the 3-D face model data, and assigning different weight ratios to feature points; and a comparing module for comparing the feature points stored in the first and second data storing module, during which, different geometric characteristics being given different weight ratios, and calculating relativity between the feature points to obtain a comparison result.
    • 3-D面部识别系统具有用于存储3-D面部模型数据和2-D脸部图像数据的第一数据存储模块; 输入单元,用于输入3-D面部模型数据和2-D脸部图像数据; 信号转换模块,用于将3-D面部模型数据和2-D面部图像数据的模拟数据转换成数字数据; 第二数据存储模块,用于存储数字数据; 微处理模块,用于分析存储在第一和第二数据存储模块中的3-D面部模型数据中的点的几何特征,以确定3-D面部模型数据的特征点,以及向特征点分配不同的权重比; 以及比较模块,用于比较存储在第一和第二数据存储模块中的特征点,其中不同的几何特征被赋予不同的权重比,以及计算特征点之间的相对性以获得比较结果。
    • 5. 发明授权
    • Image processing method for providing depth information and image processing system using the same
    • 用于提供深度信息的图像处理方法和使用其的图像处理系统
    • US08565513B2
    • 2013-10-22
    • US12632954
    • 2009-12-08
    • Te-Chin ShaoWen-Chao Chen
    • Te-Chin ShaoWen-Chao Chen
    • G06K9/00G06K9/36
    • G06T7/593G06T2207/10012G06T2207/20021
    • An image processing method for providing corresponding depth information according to an input image is provided. This method includes the following steps. First, a reference image is generated according to the input image. Next, the input image and the reference image are divided into a number of input image blocks and a number of reference image blocks, respectively. Then, according to a number of input pixel data of each input image block and a number of reference pixel data of each reference image block, respective variance magnitudes of the input image blocks are obtained. Next, the input image is divided into a number of segmentation regions. Then, the depth information is generated according to the corresponding variance magnitudes of the input image blocks which each segmentation region covers substantially.
    • 提供了一种用于根据输入图像提供相应的深度信息的图像处理方法。 该方法包括以下步骤。 首先,根据输入图像生成参照图像。 接下来,将输入图像和参考图像分别分成多个输入图像块和多个参考图像块。 然后,根据每个输入图像块的输入像素数据的数量和每个参考图像块的参考像素数据的数量,获得输入图像块的各自的变化幅度。 接下来,将输入图像分割成多个分割区域。 然后,根据每个分割区域基本上覆盖的输入图像块的相应变化量产生深度信息。
    • 6. 发明授权
    • Method for producing image with depth by using 2D images
    • 使用2D图像生成深度图像的方法
    • US08180145B2
    • 2012-05-15
    • US12262158
    • 2008-10-30
    • Jeng-Feng WuWen-Chao ChenCheng-Yuan Tang
    • Jeng-Feng WuWen-Chao ChenCheng-Yuan Tang
    • G06K9/00
    • G06T7/596G06T2207/10012
    • A method for producing an image with depth by using 2D image includes obtaining a set of internal parameters of a camera. The camera takes at least a first and a second 2D images with a small shift. The first 2D image has N depths, and N≧2. Several sets of external parameters of the camera corresponding to the 2D images are estimated. A 3D information respectively corresponding to the N depths of the first 2D image at each pixel or block is calculated. A proper depth of each pixel or image block is determined. Through the internal parameters, the external parameters, and the N depths, each pixel or image block of the first 2D image is projected onto N positions of the second 2D image, so as to perform a matching comparison analysis with the second 2D image, thereby determining the proper depth from the N depths.
    • 通过使用2D图像来生成具有深度的图像的方法包括获得相机的一组内部参数。 相机拍摄至少具有小偏移的第一和第二2D图像。 第一2D图像具有N个深度,N≥2。 估计对应于2D图像的摄像机的几组外部参数。 计算分别对应于每个像素或块处的第一2D图像的N个深度的3D信息。 确定每个像素或图像块的适当深度。 通过内部参数,外部参数和N个深度将第一2D图像的每个像素或图像块投影到第二2D图像的N个位置上,以便与第二2D图像进行匹配比较分析,由此 从N个深度确定适当的深度。
    • 8. 发明申请
    • METHOD AND SYSTEM FOR SEARCHING FOR GLOBAL MINIMUM
    • 用于全球最小搜索的方法和系统
    • US20100166295A1
    • 2010-07-01
    • US12534861
    • 2009-08-04
    • Wen-Chao ChenZen ChenChiao-Wen Cheng
    • Wen-Chao ChenZen ChenChiao-Wen Cheng
    • G06K9/00
    • G06K9/209G06K9/6214
    • A method and a system for searching for a global minimum are provided. First, a subclass of a plurality of space points in a multidimensional space is clustered into a plurality of clusters through a clustering algorithm, wherein each of the space points is corresponding to an error value in an evaluation function. Then, ellipsoids for enclosing the clusters in the multidimensional space are respectively calculated. Next, a designated space corresponding to each of the ellipsoids is respectively inputted into a recursive search algorithm to search for a local minimum among the error values corresponding to the space points within each designated space. Finally, the local minimums of all the clusters are compared to obtain the space point corresponding to the minimum local minimum.
    • 提供了一种用于搜索全局最小值的方法和系统。 首先,通过聚类算法将多维空间中的多个空间点的子类聚类成多个群集,其中每个空格点对应于评估函数中的错误值。 然后,分别计算用于在多维空间中包围簇的椭球。 接下来,将与每个椭圆相对应的指定空间分别输入到递归搜索算法中,以搜索与每个指定空间内的空间点对应的误差值中的局部最小值。 最后,将所有集群的局部最小值进行比较,以获得对应于最小局部最小值的空间点。
    • 10. 发明授权
    • Three-dimensional face recognition system and method
    • 三维人脸识别系统及方法
    • US07620217B2
    • 2009-11-17
    • US11450581
    • 2006-06-12
    • Wen-Chao ChenTzung-Han LinHong-Long Chou
    • Wen-Chao ChenTzung-Han LinHong-Long Chou
    • G06K9/00
    • G06K9/00281
    • A 3-D face recognition system has a first data storing module for storing 3-D face model data and 2-D face image data; an input unit for inputting 3-D face model data and 2-D face image data; a signal converting module for converting analog data of the 3-D face model data and 2-D face image data to digital data; a second data storing module for storing the digital data; a microprocessing module for analyzing geometric characteristics of points in the 3-D face model data stored in the first and second data storing module to determine feature points of the 3-D face model data, and assigning different weight ratios to feature points; and a comparing module for comparing the feature points stored in the first and second data storing module, during which, different geometric characteristics being given different weight ratios, and calculating relativity between the feature points to obtain a comparison result.
    • 3-D面部识别系统具有用于存储3-D面部模型数据和2-D脸部图像数据的第一数据存储模块; 输入单元,用于输入3-D面部模型数据和2-D脸部图像数据; 信号转换模块,用于将3-D面部模型数据和2-D面部图像数据的模拟数据转换成数字数据; 第二数据存储模块,用于存储数字数据; 微处理模块,用于分析存储在第一和第二数据存储模块中的3-D面部模型数据中的点的几何特征,以确定3-D面部模型数据的特征点,以及向特征点分配不同的权重比; 以及比较模块,用于比较存储在第一和第二数据存储模块中的特征点,其中不同的几何特征被赋予不同的权重比,以及计算特征点之间的相对性以获得比较结果。