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1. 发明申请

US20140294300A1 FACE MATCHING FOR MOBILE DEVICES 有权
标题翻译：移动设备的面对匹配
公开(公告)号：US20140294300A1
公开(公告)日：2014-10-02
申请号：US14227911
申请日：2014-03-27
申请人： Gurumurthy Swaminathan , Saad J. Bedros , Vinod Pathangay
发明人： Gurumurthy Swaminathan , Saad J. Bedros , Vinod Pathangay
IPC分类号： G06K9/00
CPC分类号： G06K9/6212 , G06K9/00288 , G06K2009/4666
摘要： A method includes receiving an image of a face to match with images of known faces, extracting blocks multiple blocks from the received image, calculating local binary pattern histograms for each block, generating matching scores for each block against block of the images of known faces, determining a top number, N, of matching scores less than the number of blocks, and matching the received image to an image of a known face as a function of the top number of matching scores.
摘要翻译：一种方法包括接收与已知面部图像匹配的面部图像，从接收到的图像中提取块多个块，计算每个块的局部二进制图形直方图，生成针对已知面部图像的块的每个块的匹配分数，确定小于块数量的匹配分数的最大数目N，并且将接收到的图像与已知面部的图像作为匹配分数的顶部数量的函数进行匹配。

2. 发明授权

US08941651B2 Object alignment from a 2-dimensional image 有权
标题翻译：二维图像对象对齐
公开(公告)号：US08941651B2
公开(公告)日：2015-01-27
申请号：US13228188
申请日：2011-09-08
申请人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan Ullam Subbaraya
发明人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan Ullam Subbaraya
IPC分类号： G06T17/20 , G06T17/00 , G06T19/00 , G06T15/00 , G06T7/00 , G06K9/00
CPC分类号： G06T15/00 , G06K9/00208 , G06K9/00221 , G06T7/344 , G06T7/50 , G06T17/20 , G06T2207/30201
摘要： The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-D) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.
摘要翻译：本公开提供了用于从对象的二维（2-D）图像进行对象对准的方法，机器可读介质和系统。一个或多个实施例包括在对象的3-D模型中定义2-D图像中的2-D形状和3维（3-D）形状，映射2-D上的多个对应点，以及 3-D形状，定义具有多个三角形的2-D和3-D形状，其中三角形数量的顶点数目对应于点数，细分定义2-D和3的三角形的数量 -D形成包括多个新顶点的多个细分三角形，并且通过从三维形状的多个细分三角形分配多个z坐标来从2D图像重建3D图像到2-D形状的多个细分三角形以产生3-D重建形状。

3. 发明申请

US20120148160A1 LANDMARK LOCALIZATION FOR FACIAL IMAGERY 审中-公开
标题翻译：地面图像的LANDMARK本地化
公开(公告)号：US20120148160A1
公开(公告)日：2012-06-14
申请号：US12832613
申请日：2010-07-08
申请人： Gurumurthy Swaminathan , Saad J. Bedros
发明人： Gurumurthy Swaminathan , Saad J. Bedros
IPC分类号： G06K9/46
CPC分类号： G06K9/00281
摘要： A process and system for facial landmark detection of a face in a scene of an image includes determining face dimensions from the image, identifying regions of search for one or more facial landmarks using the face dimensions, and running a cascaded classifier and a strong classifier tailored to detect different types of facial landmarks to determine one or more respective locations of the facial landmarks. According to another example embodiment, the facial landmarks are used for face mining or face recognition, and the cascaded classifier is performed using a multi-staged AdaBoost classifier, where detections from multiple stages are utilized to enable the best location of the landmark. According to another example embodiment, the strong classifier is a support vector machine (SVM) classifier with input features processed by a principal component analysis (PCA) of the landmark subimage.
摘要翻译：用于面部地图检测图像场景中的面部的过程和系统包括从图像确定面部尺寸，使用面部尺寸识别搜索一个或多个面部地标的区域，以及运行级联分类器和强分类器以检测不同类型的面部地标以确定面部地标的一个或多个相应的位置。根据另一示例性实施例，面部地标用于面部挖掘或面部识别，并且使用多级AdaBoost分类器来执行级联分类器，其中利用来自多个级的检测来实现地标的最佳位置。根据另一示例实施例，强分类器是具有由地标子图像的主成分分析（PCA）处理的输入特征的支持向量机（SVM）分类器。

4. 发明申请

US20090022364A1 MULTI-POSE FAC TRACKING USING MULTIPLE APPEARANCE MODELS 有权
标题翻译：使用多个外观模型的多位置FAC跟踪
公开(公告)号：US20090022364A1
公开(公告)日：2009-01-22
申请号：US11780238
申请日：2007-07-19
申请人： Gurumurthy Swaminathan , Vijendran G. Venkoparao , Rudra N. Hota , Saad J. Bedros , Michal Juza
发明人： Gurumurthy Swaminathan , Vijendran G. Venkoparao , Rudra N. Hota , Saad J. Bedros , Michal Juza
IPC分类号： G06K9/00
CPC分类号： G06K9/00261 , G06T7/251 , G06T7/277 , G06T7/75 , G06T2207/10016 , G06T2207/30201
摘要： A system and method are provided for tracking a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. Similarity matching for both a color model and an edge model are performed to derive correlation values for each about the predicted position. The correlation values are then combined to determine a best position and scale match to track a face in the video.
摘要翻译：提供了一种用于跟踪通过视频序列的多个帧移动的面部的系统和方法。获得视频帧中的脸部的预测位置。执行颜色模型和边缘模型的相似性匹配以导出关于预测位置的相关值。然后将相关值组合以确定用于跟踪视频中的脸部的最佳位置和比例匹配。

5. 发明授权

US08731238B2 Multiple view face tracking 有权
标题翻译：多视图人脸跟踪
公开(公告)号：US08731238B2
公开(公告)日：2014-05-20
申请号：US12482350
申请日：2009-06-10
申请人： Gurumurthy Swaminathan , Saad J. Bedros , Ullam Subbaraya Yadhunandan , Jana Trojanova
发明人： Gurumurthy Swaminathan , Saad J. Bedros , Ullam Subbaraya Yadhunandan , Jana Trojanova
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06K9/00261 , G06K9/4623 , G06T7/251 , G06T7/277 , G06T2207/10016 , G06T2207/20076 , G06T2207/30201
摘要： A system and method track a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. A search is performed to determine appearance model similarity values of a detected face. Motion and appearance probabilities of the detected face are obtained, and the detected face in the video frame is associated with a track as a function of a joint probabilistic data association filter.
摘要翻译：系统和方法跟踪通过视频序列的多个帧移动的面部。获得视频帧中的脸部的预测位置。执行搜索以确定检测到的面部的外观模型相似性值。获得检测到的面部的运动和出现概率，并且视频帧中的检测到的面部与作为联合概率数据关联过滤器的函数的轨迹相关联。

6. 发明申请

US20130063417A1 OBJECT ALIGNMENT FROM A 2-DIMENSIONAL IMAGE 有权
标题翻译：二维图像对象对齐
公开(公告)号：US20130063417A1
公开(公告)日：2013-03-14
申请号：US13228188
申请日：2011-09-08
申请人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan U S.
发明人： Jana Trojanova , Saad J. Bedros , Gurumurthy Swaminathan , Yadhunandan U S.
IPC分类号： G06T15/00
CPC分类号： G06T15/00 , G06K9/00208 , G06K9/00221 , G06T7/344 , G06T7/50 , G06T17/20 , G06T2207/30201
摘要： The present disclosure provides methods, machine readable media, and systems for object alignment from a 2-dimensional (2-0) image of the object. One or more embodiments include defining a 2-D shape in the 2-D image and a 3-dimensional (3-D) shape in a 3-D model of the object, mapping a number of corresponding points on the 2-D and 3-D shapes, defining the 2-D and 3-D shapes with a number of triangles, wherein a number of vertices of the number of triangles correspond to the number of points, subdividing the number of triangles defining the 2-D and 3-D shapes into a plurality of subdivided triangles that include a plurality of new vertices, and reconstructuring a 3-D image from the 2-D image by assigning a number of z-coordinates from the plurality of subdivided triangles of the 3-D shape to the plurality of subdivided triangles of the 2-D shape to create a 3-D reconstructured shape.
摘要翻译：本公开提供了用于从对象的二维（2-0）图像进行对象对准的方法，机器可读介质和系统。一个或多个实施例包括在对象的3-D模型中定义2-D图像中的2-D形状和3维（3-D）形状，映射2-D上的多个对应点，以及 3-D形状，定义具有多个三角形的2-D和3-D形状，其中三角形数量的顶点数目对应于点数，细分定义2-D和3的三角形的数量 -D形成包括多个新顶点的多个细分三角形，并且通过从三维形状的多个细分三角形分配多个z坐标来从2D图像重建3D图像到2-D形状的多个细分三角形以产生3-D重建形状。

7. 发明申请

US20100316298A1 MULTIPLE VIEW FACE TRACKING 有权
标题翻译：多重查看面部跟踪
公开(公告)号：US20100316298A1
公开(公告)日：2010-12-16
申请号：US12482350
申请日：2009-06-10
申请人： Gurumurthy Swaminathan , Saad J. Bedros , U. S. Yadhunandan , Jana Trojanova
发明人： Gurumurthy Swaminathan , Saad J. Bedros , U. S. Yadhunandan , Jana Trojanova
IPC分类号： G06K9/62
CPC分类号： G06K9/621 , G06K9/00261 , G06K9/4623 , G06T7/251 , G06T7/277 , G06T2207/10016 , G06T2207/20076 , G06T2207/30201
摘要： A system and method track a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. A search is performed to determine appearance model similarity values of a detected face. Motion and appearance probabilities of the detected face are obtained, and the detected face in the video frame is associated with a track as a function of a joint probabilistic data association filter.
摘要翻译：系统和方法跟踪通过视频序列的多个帧移动的面部。获得视频帧中的脸部的预测位置。执行搜索以确定检测到的面部的外观模型相似性值。获得检测到的面部的运动和出现概率，并且视频帧中的检测到的面部与作为联合概率数据关联过滤器的函数的轨迹相关联。

8. 发明授权

US08064639B2 Multi-pose face tracking using multiple appearance models 有权
标题翻译：多姿态脸部跟踪使用多种外观模型
公开(公告)号：US08064639B2
公开(公告)日：2011-11-22
申请号：US11780238
申请日：2007-07-19
申请人： Gurumurthy Swaminathan , Vijendran G. Venkoparao , Rudra N. Hota , Saad J. Bedros , Michal Juza
发明人： Gurumurthy Swaminathan , Vijendran G. Venkoparao , Rudra N. Hota , Saad J. Bedros , Michal Juza
IPC分类号： G06K9/00
CPC分类号： G06K9/00261 , G06T7/251 , G06T7/277 , G06T7/75 , G06T2207/10016 , G06T2207/30201
摘要： A system and method are provided for tracking a face moving through multiple frames of a video sequence. A predicted position of a face in a video frame is obtained. Similarity matching for both a color model and an edge model are performed to derive correlation values for each about the predicted position. The correlation values are then combined to determine a best position and scale match to track a face in the video.
摘要翻译：提供了一种用于跟踪通过视频序列的多个帧移动的面部的系统和方法。获得视频帧中的脸部的预测位置。执行颜色模型和边缘模型的相似性匹配以导出关于预测位置的相关值。然后将相关值组合以确定用于跟踪视频中的脸部的最佳位置和比例匹配。

9. 发明申请

US20130329944A1 TRACKING AIRCRAFT IN A TAXI AREA 审中-公开
标题翻译：在TAXI地区跟踪飞机
公开(公告)号：US20130329944A1
公开(公告)日：2013-12-12
申请号：US13494625
申请日：2012-06-12
申请人： Mahesh Kumar Gellaboina , Gurumurthy Swaminathan , Saad J. Bedros , Vit Libal
发明人： Mahesh Kumar Gellaboina , Gurumurthy Swaminathan , Saad J. Bedros , Vit Libal
IPC分类号： G01S13/58 , G06K9/46
CPC分类号： G01S3/7864 , G01S2013/916 , G06K9/00785 , G08G5/06
摘要： Tracking aircraft in a taxi area is described herein. One method includes receiving a video image of an aircraft while the aircraft is taxiing, determining a portion of the video image associated with the aircraft, determining a geographical track associated with the aircraft based, at least in part, on the portion of the video image, and mapping the determined geographical track to a coordinate system display while the aircraft is taxiing.
摘要翻译：这里描述了在出租车区域追踪飞机。一种方法包括在飞机滑行时接收飞行器的视频图像，确定与飞行器相关联的视频图像的一部分，至少部分地基于视频图像的部分确定与飞行器相关联的地理轨迹，并且在飞机滑行时将确定的地理轨迹映射到坐标系显示。

10. 发明授权

US08861802B2 Face image prioritization based on face quality analysis 有权
标题翻译：基于脸部质量分析的面部图像优先级
公开(公告)号：US08861802B2
公开(公告)日：2014-10-14
申请号：US13419142
申请日：2012-03-13
申请人： Saad J. Bedros , Pedro Davalos , Ben Miller
发明人： Saad J. Bedros , Pedro Davalos , Ben Miller
IPC分类号： G06K9/00
CPC分类号： G06K9/036 , G06K9/00221
摘要： Methods, machine-readable media, and devices for face image prioritization based on face quality analysis are described herein. For example, one or more embodiments include detecting a facial image in an image that has been acquired by a camera that monitors a scene, passing the facial image through a number of quality analysis filters that include a number of quality analysis factors, wherein processing complexity associated with the number of quality analysis factors increases consecutively, and submitting the facial image to a facial recognition program upon a determination that the facial image has passed the number of quality analysis filters.
摘要翻译：本文描述了基于面部质量分析的方法，机器可读介质和用于面部图像优先化的设备。例如，一个或多个实施例包括检测已经由监视场景的照相机获取的图像中的面部图像，使面部图像通过包括多个质量分析因子的多个质量分析过滤器，其中处理复杂度与质量分析因子的数量连续增加相关联，并且在确定面部图像已经通过质量分析过滤器的数量时，将面部图像提交给面部识别程序。

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