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公开(公告)号：US20060280343A1
公开(公告)日：2006-12-14
申请号：US11251222
申请日：2005-10-14
Applicant: Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
Inventor： Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
CPC classification number: G06K9/4661
Abstract: A method recognizes a face in an image. A morphable model having shape and pose parameters is fitted to a face in an image to construct a three-dimensional model of the face. Texture is extracted from the face in the image using the three-dimensional model. The shape and texture are projected into a bilinear illumination model to generate illumination bases for the face in the image. The illumination bases for the face in the image are compared to illumination bases of each of a plurality of bilinear illumination models of known faces to identify the face in the image.
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公开(公告)号：US20060280342A1
公开(公告)日：2006-12-14
申请号：US11152528
申请日：2005-06-14
Applicant: Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
Inventor： Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
CPC classification number: G06K9/4661
Abstract: A method generates a three-dimensional, bi-linear, illumination model for arbitrary faces. A large number of images are acquired of many different faces. For each face, multiple images are acquired with varying poses and varying illumination. A three-mode singular value decomposition is applied to the images to determine parameters of the model. The model can be fit to a probe image of an unknown face. Then, the model can be compared with models of a gallery of images of unknown faces to recognize the face in the probe image.
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公开(公告)号：US07609860B2
公开(公告)日：2009-10-27
申请号：US11251222
申请日：2005-10-14
Applicant: Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
Inventor： Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
CPC classification number: G06K9/4661
Abstract: A method recognizes a face in an image. A morphable model having shape and pose parameters is fitted to a face in an image to construct a three-dimensional model of the face. Texture is extracted from the face in the image using the three-dimensional model. The shape and texture are projected into a bilinear illumination model to generate illumination bases for the face in the image. The illumination bases for the face in the image are compared to illumination bases of each of a plurality of bilinear illumination models of known faces to identify the face in the image.
Abstract translation: 一种方法识别图像中的一张脸。 具有形状和姿态参数的变形模型被拟合到图像中的面部以构建面部的三维模型。 使用三维模型从图像中的脸部提取纹理。 将形状和纹理投影到双线性照明模型中以为图像中的脸部产生照明基础。 将图像中的脸部的照明基底与已知面部的多个双线性照明模型中的每一个的照明基底进行比较，以识别图像中的脸部。
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Patent Agency Ranking
公开(公告)号：US07212664B2
公开(公告)日：2007-05-01
申请号：US10636355
申请日：2003-08-07
Applicant: Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
Inventor： Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
IPC: G06K9/00
CPC classification number: G06K9/00288 , G06T17/00
Abstract: A method reconstructs or synthesizes heads from 3D models of heads and 2D silhouettes of heads. A 3D statistical model is generated from multiple real human heads. The 3D statistical model includes a model parameter in the form of basis vectors and corresponding coefficients. Multiple 2D silhouettes of a particular head are acquired using a camera for example. The 3D statistical model is fitted to multiple 2D silhouettes to determine a particular value of the model parameter corresponding to the plurality of 2D silhouettes. Then, the 3D statistical model is rendered according to the particular value of the model parameter to reconstruct the particular head.
Abstract translation: 一种方法从头部的3D模型和头部的2D轮廓重建或合成头部。 一个3D统计模型是从多个真人脑中产生的。 3D统计模型包括基矢量和对应系数形式的模型参数。 使用相机例如获取特定头部的多个2D轮廓。 将3D统计模型拟合到多个2D轮廓以确定对应于多个2D轮廓的模型参数的特定值。 然后，根据模型参数的特定值来渲染3D统计模型以重建特定的头部。
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公开(公告)号：US07609859B2
公开(公告)日：2009-10-27
申请号：US11152528
申请日：2005-06-14
Applicant: Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
Inventor： Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
CPC classification number: G06K9/4661
Abstract: A method generates a three-dimensional, bi-linear, illumination model for arbitrary faces. A large number of images are acquired of many different faces. For each face, multiple images are acquired with varying poses and varying illumination. A three-mode singular value decomposition is applied to the images to determine parameters of the model. The model can be fit to a probe image of an unknown face. Then, the model can be compared with models of a gallery of images of unknown faces to recognize the face in the probe image.
Abstract translation: 一种方法为任意面生成三维，双线性照明模型。 许多不同的脸部获得了大量的图像。 对于每个脸部，以不同的姿势和变化的照明采集多个图像。 对图像应用三模式奇异值分解以确定模型的参数。 该模型可以适应未知脸部的探针图像。 然后，该模型可以与未知脸部图像库的模型进行比较，以识别探针图像中的脸部。
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公开(公告)号：US20050031194A1
公开(公告)日：2005-02-10
申请号：US10636355
申请日：2003-08-07
Applicant: Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
Inventor： Jinho Lee , Baback Moghaddam , Hanspeter Pfister , Raghu Machiraju
CPC classification number: G06K9/00288 , G06T17/00
Abstract: A method reconstructs or synthesizes heads from 3D models of heads and 2D silhouettes of heads. A 3D statistical model is generated from multiple real human heads. The 3D statistical model includes a model parameter in the form of basis vectors and corresponding coefficients. Multiple 2D silhouettes of a particular head are acquired using a camera for example. The 3D statistical model is fitted to multiple 2D silhouettes to determine a particular value of the model parameter corresponding to the plurality of 2D silhouettes. Then, the 3D statistical model is rendered according to the particular value of the model parameter to reconstruct the particular head.
Abstract translation: 一种方法从头部的3D模型和头部的2D轮廓重建或合成头部。 一个3D统计模型是从多个真人脑中产生的。 3D统计模型包括基矢量和对应系数形式的模型参数。 使用相机例如获取特定头部的多个2D轮廓。 将3D统计模型拟合到多个2D轮廓以确定对应于多个2D轮廓的模型参数的特定值。 然后，根据模型参数的特定值来渲染3D统计模型以重建特定的头部。
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公开(公告)号：US08712139B2
公开(公告)日：2014-04-29
申请号：US12053295
申请日：2008-03-21
Applicant: Jens Rittscher , Rahul Bhotika , Kishore Mosaliganti , Dirk Ryan Padfield , Raghu Machiraju
Inventor： Jens Rittscher , Rahul Bhotika , Kishore Mosaliganti , Dirk Ryan Padfield , Raghu Machiraju
IPC: G06K9/34
CPC classification number: G06K9/0014 , G06T7/11 , G06T7/143 , G06T2200/04 , G06T2207/10056 , G06T2207/30024
Abstract: Systems and methods for segmenting images comprising cells, wherein the images comprise a plurality of pixels; one or more three dimensional (3D) clusters of cells are identified in the images; and the 3D clusters of cells are automatically segmented into individual cells using one or more models.
Abstract translation: 用于分割包括单元的图像的系统和方法，其中所述图像包括多个像素; 在图像中识别出一个或多个三维（3D）细胞簇; 并且使用一个或多个模型将单元格的3D聚类自动分割成单个单元。
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8.发明申请公开(公告)号：US20090238457A1
公开(公告)日：2009-09-24
申请号：US12053295
申请日：2008-03-21
Applicant: Jens Rittscher , Rahul Bhotika , Kishore Mosaliganti , Dirk Ryan Padfield , Raghu Machiraju
Inventor： Jens Rittscher , Rahul Bhotika , Kishore Mosaliganti , Dirk Ryan Padfield , Raghu Machiraju
IPC: G06K9/34
CPC classification number: G06K9/0014 , G06T7/11 , G06T7/143 , G06T2200/04 , G06T2207/10056 , G06T2207/30024
Abstract: Systems and methods for segmenting images comprising cells, wherein the images comprise a plurality of pixels; one or more three dimensional (3D) clusters of cells are identified in the images; and the 3D clusters of cells are automatically segmented into individual cells using one or more models.
Abstract translation: 用于分割包括单元的图像的系统和方法，其中所述图像包括多个像素; 在图像中识别出一个或多个三维（3D）细胞簇; 并且使用一个或多个模型将单元格的3D聚类自动分割成单个单元。
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