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11. 发明授权

US08773423B2 Creating optimized gradient mesh of a vector-based image from a raster-based image 有权
标题翻译：从基于光栅的图像创建基于矢量的图像的优化梯度网格
公开(公告)号：US08773423B2
公开(公告)日：2014-07-08
申请号：US11800680
申请日：2007-05-07
申请人： Jian Sun , Lin Liang , Fang Wen , Heung-Yeung Shum
发明人： Jian Sun , Lin Liang , Fang Wen , Heung-Yeung Shum
IPC分类号： G06T15/00
CPC分类号： G06T17/20
摘要： A method for creating an optimized gradient mesh of a vector-based image from a raster-based image. In one implementation, a set of boundaries for an object on a raster-based image may be received. An initial gradient mesh of the object may be created. A residual energy between the object on the raster-based image and a rendered initial gradient mesh may be minimized to generate an optimized gradient mesh.
摘要翻译：一种用于从基于光栅的图像创建基于矢量的图像的优化梯度网格的方法。在一个实现中，可以接收基于光栅的图像上的对象的一组边界。可以创建对象的初始渐变网格。基于光栅的图像上的对象与渲染的初始梯度网格之间的剩余能量可以被最小化以生成优化的梯度网格。

12. 发明授权

US08200017B2 Face alignment via component-based discriminative search 有权
标题翻译：通过基于组件的辨别搜索进行面部对齐
公开(公告)号：US08200017B2
公开(公告)日：2012-06-12
申请号：US12245711
申请日：2008-10-04
申请人： Lin Liang , Fang Wen , Jian Sun
发明人： Lin Liang , Fang Wen , Jian Sun
IPC分类号： G06K9/00 , G06K9/68 , G05B19/00
CPC分类号： G06K9/00248 , G06K9/6203 , G06T7/251 , G06T2207/10016 , G06T2207/30201
摘要： Described is a technology in which face alignment data is obtained by processing an image using a component-based discriminative search algorithm. For each facial component, the search is guided by an associated directional classifier that determines how to move the facial component (if at all) to achieve better alignment relative to its corresponding facial component in the image. Also described is training of the classifiers.
摘要翻译：描述了通过使用基于分量的辨别搜索算法处理图像来获得面部对准数据的技术。对于每个面部组件，搜索由相关联的方向分类器引导，其确定如何移动面部组件（如果有的话），以实现相对于其在图像中的相应面部分量的更好的对准。还描述了分类器的训练。

13. 发明授权

US08750629B2 Method for searching and ranking images clustered based upon similar content 有权
标题翻译：基于类似内容搜索和排列图像的方法
公开(公告)号：US08750629B2
公开(公告)日：2014-06-10
申请号：US12958242
申请日：2010-12-01
申请人： Yue Ma , Justin D. Hamilton , Fang Wen , Jian Sun
发明人： Yue Ma , Justin D. Hamilton , Fang Wen , Jian Sun
IPC分类号： G06K9/62
CPC分类号： G06F17/30268
摘要： Image search techniques are described. In one or more implementations, images in a search result are ordered based at least in part on similarity of the images, one to another. The search result having the ordered images is provided in response to a search request.
摘要翻译：描述图像搜索技术。在一个或多个实现中，搜索结果中的图像至少部分地基于图像的相似性而排序。响应于搜索请求提供具有有序图像的搜索结果。

14. 发明申请

US20120106853A1 IMAGE SEARCH 有权
标题翻译：图像搜索
公开(公告)号：US20120106853A1
公开(公告)日：2012-05-03
申请号：US12958242
申请日：2010-12-01
申请人： Yue Ma , Justin D. Hamilton , Fang Wen , Jian Sun
发明人： Yue Ma , Justin D. Hamilton , Fang Wen , Jian Sun
IPC分类号： G06K9/68
CPC分类号： G06F17/30268
摘要： Image search techniques are described. In one or more implementations, images in a search result are ordered based at least in part on similarity of the images, one to another. The search result having the ordered images is provided in response to a search request.
摘要翻译：描述图像搜索技术。在一个或多个实现中，搜索结果中的图像至少部分地基于图像的相似性而排序。响应于搜索请求提供具有有序图像的搜索结果。

15. 发明申请

US20080278479A1 Creating optimized gradient mesh of a vector-based image from a raster-based image 有权
标题翻译：从基于光栅的图像创建基于矢量的图像的优化梯度网格
公开(公告)号：US20080278479A1
公开(公告)日：2008-11-13
申请号：US11800680
申请日：2007-05-07
申请人： Jian Sun , Lin Liang , Fang Wen , Heung-Yeung Shum
发明人： Jian Sun , Lin Liang , Fang Wen , Heung-Yeung Shum
IPC分类号： G06T15/00
CPC分类号： G06T17/20
摘要： A method for creating an optimized gradient mesh of a vector-based image from a raster-based image. In one implementation, a set of boundaries for an object on a raster-based image may be received. An initial gradient mesh of the object may be created. A residual energy between the object on the raster-based image and a rendered initial gradient mesh may be minimized to generate an optimized gradient mesh.
摘要翻译：一种用于从基于光栅的图像创建基于矢量的图像的优化梯度网格的方法。在一个实现中，可以接收基于光栅的图像上的对象的一组边界。可以创建对象的初始渐变网格。基于光栅的图像上的对象与渲染的初始梯度网格之间的剩余能量可以被最小化以生成优化的梯度网格。

16. 发明授权

US08644600B2 Learning object cutout from a single example 有权
标题翻译：从一个例子学习对象剪切
公开(公告)号：US08644600B2
公开(公告)日：2014-02-04
申请号：US11810595
申请日：2007-06-05
申请人： Qiong Yang , Fang Wen , Xiaoou Tang
发明人： Qiong Yang , Fang Wen , Xiaoou Tang
IPC分类号： G06K9/00
CPC分类号： G06K9/621 , G06T7/11 , G06T7/12 , G06T7/162 , G06T7/174 , G06T7/194 , G06T7/90 , G06T2207/10024 , G06T2207/20072 , G06T2207/20081 , G06T2207/20121
摘要： Systems and methods are described for learning visual object cutout from a single example. In one implementation, an exemplary system determines the color context near each block in a model image to create an appearance model. The system also learns color sequences that occur across visual edges in the model image to create an edge profile model. The exemplary system then infers segmentation boundaries in unknown images based on the appearance model and edge profile model. In one implementation, the exemplary system minimizes the energy in a graph-cut model where the appearance model is used for data energy and the edge profile is used to modulate edges. The system is not limited to images with nearly identical foregrounds or backgrounds. Some variations in scale, rotation, and viewpoint are allowed.
摘要翻译：描述了从单个示例中学习视觉对象切割的系统和方法。在一个实现中，示例性系统确定模型图像中每个块附近的颜色上下文以创建外观模型。该系统还学习在模型图像中跨视觉边缘发生的颜色序列，以创建边缘轮廓模型。然后，示例性系统基于外观模型和边缘轮廓模型来推断未知图像中的分割边界。在一个实现中，示例性系统最小化图形切割模型中的能量，其中外观模型用于数据能量，并且边缘轮廓用于调制边缘。该系统不限于具有几乎相同的前景或背景的图像。允许在比例尺，旋转角度和视角上有一些变化。

17. 发明申请

US20090252435A1 CARTOON PERSONALIZATION 有权
标题翻译：卡通个性化
公开(公告)号：US20090252435A1
公开(公告)日：2009-10-08
申请号：US12200361
申请日：2008-08-28
申请人： Fang Wen , Xiao-Ou Tang , Ying-Qing Xu
发明人： Fang Wen , Xiao-Ou Tang , Ying-Qing Xu
IPC分类号： G06K9/36
CPC分类号： G06K9/00228 , G06K9/6203 , G06K9/6257
摘要： Embodiments that provide cartoon personalization are disclosed. In accordance with one embodiment, cartoon personalization includes selecting a face image having a pose orientation that substantially matches an original pose orientation of a character in a cartoon image. The method also includes replacing a face of the character in the cartoon image with the face image. The method further includes blending the face image with a remainder of the character in the cartoon image.
摘要翻译：公开了提供卡通个性化的实施例。根据一个实施例，卡通个性化包括选择具有与卡通图像中的角色的原始姿态取向基本匹配的姿势取向的面部图像。该方法还包括用面部图像替换卡通图像中的角色的脸部。该方法还包括将人脸图像与卡通图像中的角色的剩余部分进行混合。

18. 发明申请

US20080298766A1 Interactive Photo Annotation Based on Face Clustering 有权
标题翻译：基于人脸聚类的互动照片注释
公开(公告)号：US20080298766A1
公开(公告)日：2008-12-04
申请号：US11754933
申请日：2007-05-29
申请人： Fang Wen , Rong Xiao , Qiong Yang , Xiaoou Tang
发明人： Fang Wen , Rong Xiao , Qiong Yang , Xiaoou Tang
IPC分类号： H04N5/91
CPC分类号： G06F17/30259 , G06F17/3028
摘要： An interactive photo annotation method uses clustering based on facial similarities to improve annotation experience. The method uses a face recognition algorithm to extract facial features of a photo album and cluster the photos into multiple face groups based on facial similarity. The method annotates a face group collectively using annotations, such as name identifiers, in one operation. The method further allows merging and splitting of face groups. Special graphical user interfaces, such as displays in a group view area and a thumbnail area and drag-and-drop features, are used to further improve the annotation experience.
摘要翻译：交互式照片注释方法使用基于面部相似度的聚类来改进注释体验。该方法使用面部识别算法提取相册的面部特征，并根据面部相似度将照片聚类成多个面部组。该方法在一个操作中使用注释（例如名称标识符）集体使用面部组。该方法还允许面组的合并和分割。使用特殊的图形用户界面，例如组视图区域中的显示和缩略图区域以及拖放功能，以进一步改进注释体验。

19. 发明授权

US06734755B2 Broadband uniplanar coplanar transition 失效
标题翻译：宽带单面共面过渡
公开(公告)号：US06734755B2
公开(公告)日：2004-05-11
申请号：US10147695
申请日：2002-05-16
申请人： Jeffrey S. Cites , Sean M. Garner , L. Christopher Henning , Fang Wen
发明人： Jeffrey S. Cites , Sean M. Garner , L. Christopher Henning , Fang Wen
IPC分类号： H03H738
CPC分类号： H01P5/08
摘要： A broadband interconnection device (10) used for interconnection between a first transmission line (100) and a second transmission line (200), has a substrate (300) with the first transmission line (100) defined at a first side (310) on a first surface (320), the first transmission line (100) including a signal conductor (120) and at least one ground conductor (121 or 122), a signal conductor (220) of the second transmission line (200) defined on an opposite side (340) of the first surface (310), and a ground plane (260) of the second transmission line (200) on an opposed surface (360), the signal conductor (120) of the first transmission line (100) being electrically connected to the signal conductor (220) of the second transmission line (200) on the first surface (320). On the opposed surface (360), the ground plane (260) of the second transmission line (200), has at least one protrusion (261) aligned with the signal conductor (120) of the first transmission line (100).
摘要翻译：用于第一传输线（100）和第二传输线（200）之间的互连的宽带互连设备（10）具有基板（300），其中第一传输线（100）被限定在第一侧（310）上第一表面（320），包括信号导体（120）和至少一个接地导体（121或122）的第一传输线（100），第二传输线（200）的信号导体（220）第一传输线（100）的信号导体（120）和相对表面（360）上的第二传输线（200）的接地平面（260）在第一表面（320）上电连接到第二传输线（200）的信号导体（220）。在对置面（360）上，第二传输线（200）的接地面（260）具有与第一传输线（100）的信号导体（120）对准的至少一个突起（261）。

20. 发明申请

US20180285668A1 SPOOFED FACE DETECTION 审中-公开
公开(公告)号：US20180285668A1
公开(公告)日：2018-10-04
申请号：US15763619
申请日：2015-10-30
申请人： Jinyu LI , Fang WEN , Yichen WEI , Michael John CONRAD , Chun-Te CHU , Aamir JAWAID , Microsoft Technology Licensing, LLC
发明人： Jinyu Li , Fang Wen , Yichen Wei , Michael John Conrad , Chun-Te Chu , Aamir Jawaid
IPC分类号： G06K9/00 , G06K9/62 , G06K9/46
CPC分类号： G06K9/00899 , G06K9/00288 , G06K9/4642 , G06K9/4652 , G06K9/6217 , G06K9/6269 , G06K2009/4666
摘要： Examples are disclosed herein that relate to detecting spoofed human faces. One example provides a computing device comprising a processor configured to compute a first feature distance between registered image data of a human face in a first spectral region and test image data of the human face in the first spectral region, compute a second feature distance between the registered image data and test image data of the human face in a second spectral region, compute a test feature distance between the test image data in the first spectral region and the test image data in the second spectral region, determine, based on a predetermined relationship, whether the human face to which the test image data in the first and second spectral regions corresponds is a real human face or a spoofed human face, and modify a behavior of the computing device.

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