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1. 发明申请

US20120301024A1 DUAL-PHASE RED EYE CORRECTION 有权
标题翻译：双相红眼修正
公开(公告)号：US20120301024A1
公开(公告)日：2012-11-29
申请号：US13116254
申请日：2011-05-26
申请人： Lu Yuan , Fang Wen , Jian Sun
发明人： Lu Yuan , Fang Wen , Jian Sun
IPC分类号： G06K9/00
CPC分类号： H04N1/624 , G06T7/11 , G06T7/136 , G06T2207/10024 , G06T2207/30216
摘要： A dual-phase approach to red eye correction may prevent overly aggressive or overly conservative red eye reduction. The dual-phase approach may include detecting an eye portion in a digital image. Once the eye portion is detected, the dual-phase approach may include the performance of a strong red eye correction for the eye portion when the eye portion includes a strong red eye. Otherwise, the dual-phase approach may include the performance of a weak red eye correction for the eye portion when the eye portion includes a weak red eye. The weak red eye may be distinguished from the strong red eye based a redness threshold that shows the weak red eye as having less redness hue than the strong red eye.
摘要翻译：红眼矫正的双相方法可以防止过度侵略或过度保守的红眼减轻。双相方法可以包括检测数字图像中的眼部分。一旦检测到眼睛部分，当眼部包括强红眼时，双相方法可以包括对眼部进行强红眼矫正。否则，双眼方法可以包括当眼睛部分包括弱红眼时对眼部进行弱红眼修正。弱红眼可以与强红眼区分开，发红度阈值显示弱红眼具有比强红眼少的发红色调。

2. 发明授权

US08571271B2 Dual-phase red eye correction 有权
标题翻译：双相红眼矫正
公开(公告)号：US08571271B2
公开(公告)日：2013-10-29
申请号：US13116254
申请日：2011-05-26
申请人： Lu Yuan , Fang Wen , Jian Sun
发明人： Lu Yuan , Fang Wen , Jian Sun
IPC分类号： G06K9/00
CPC分类号： H04N1/624 , G06T7/11 , G06T7/136 , G06T2207/10024 , G06T2207/30216
摘要： A dual-phase approach to red eye correction may prevent overly aggressive or overly conservative red eye reduction. The dual-phase approach may include detecting an eye portion in a digital image. Once the eye portion is detected, the dual-phase approach may include the performance of a strong red eye correction for the eye portion when the eye portion includes a strong red eye. Otherwise, the dual-phase approach may include the performance of a weak red eye correction for the eye portion when the eye portion includes a weak red eye. The weak red eye may be distinguished from the strong red eye based a redness threshold that shows the weak red eye as having less redness hue than the strong red eye.
摘要翻译：红眼矫正的双相方法可以防止过度侵略或过度保守的红眼减轻。双相方法可以包括检测数字图像中的眼部分。一旦检测到眼睛部分，当眼部包括强红眼时，双相方法可以包括对眼部进行强红眼矫正。否则，双眼方法可以包括当眼睛部分包括弱红眼时对眼部进行弱红眼修正。弱红眼可以与强红眼区分开，发红度阈值显示弱红眼具有比强红眼少的发红色调。

3. 发明申请

US20160163058A1 GEODESIC SALIENCY USING BACKGROUND PRIORS 有权
标题翻译：使用背景技术的地球物理学
公开(公告)号：US20160163058A1
公开(公告)日：2016-06-09
申请号：US14890884
申请日：2013-07-31
申请人： Yichen WEI , Fang WEN , Jian SUN , MICROSOFT TECHNOLOGY LICENSING, LLC
发明人： Yichen Wei , Fang Wen , Jian Sun
IPC分类号： G06T7/00
CPC分类号： G06T7/162 , G06K9/3233 , G06T7/11 , G06T7/136 , G06T7/194 , G06T2207/20164
摘要： Disclosed herein are techniques and systems for computing geodesic saliency of images using background priors. An input image may be segmented into a plurality of patches, and a graph associated with the image may be generated, the graph comprising nodes and edges. The nodes of the graph include nodes that correspond to the plurality of patches of the image plus an additional virtual background node that is added to the graph. The graph further includes edges that connect the nodes to each other, including internal edges between adjacent patches and boundary edges between those patches at the boundary of the image and the virtual background node. Using this graph, a saliency value, called the “geodesic” saliency, for each patch of the image is determined as a length of a shortest path from a respective patch to the virtual background node.
摘要翻译：这里公开了用于使用背景先验计算图像的测地学显着性的技术和系统。可以将输入图像分割成多个片段，并且可以生成与图像相关联的图形，该图形包括节点和边缘。图形的节点包括与图像的多个补丁相对应的节点以及添加到图形的附加虚拟背景节点。该图进一步包括将节点彼此连接的边缘，包括相邻补丁之间的内部边缘和图像边界处的虚拟背景节点之间的这些补丁之间的边界边缘。使用该图，对于图像的每个补丁，显着值（称为“测地线”）显着性被确定为从相应补丁到虚拟背景节点的最短路径的长度。

4. 发明申请

US20120294540A1 RANK ORDER-BASED IMAGE CLUSTERING 审中-公开
标题翻译：基于秩序的图像聚类
公开(公告)号：US20120294540A1
公开(公告)日：2012-11-22
申请号：US13109868
申请日：2011-05-17
申请人： Jian Sun , Fang Wen , Chunhui Zhu
发明人： Jian Sun , Fang Wen , Chunhui Zhu
IPC分类号： G06K9/62
CPC分类号： G06F16/583 , G06F16/24578 , G06K9/00677 , G06K9/6219 , G06K9/623
摘要： Rank ordered-based object image clustering may facilitate robust clustering of digital images. The rank order-based clustering of object images may include defining asymmetric distances between each object image and one or more other object images in a set of multiple object images using generated ordered lists. The rank order-based clustering may further include obtaining a rank order distance for each pairing of object images by normalizing the asymmetric distances of corresponding object images. The multiple object images are further clustered into object image clusters based on the rank order distances and adaptive absolute distance.
摘要翻译：基于排序的对象图像聚类可以促进数字图像的鲁棒聚类。对象图像的基于秩次的聚类可以包括使用生成的有序列表来定义每个对象图像与一组多个对象图像中的一个或多个其他对象图像之间的不对称距离。基于秩次的聚类还可以包括通过对相应的对象图像的不对称距离进行归一化来获得每个对象图像配对的秩序距离。基于等级距离和自适应绝对距离，将多个对象图像进一步聚类到对象图像簇中。

5. 发明授权

US08185526B2 Dynamic keyword suggestion and image-search re-ranking 有权
标题翻译：动态关键字建议和图像搜索重新排序
公开(公告)号：US08185526B2
公开(公告)日：2012-05-22
申请号：US12691181
申请日：2010-01-21
申请人： Fang Wen , Jian Sun
发明人： Fang Wen , Jian Sun
IPC分类号： G06F7/04 , G06F17/30
CPC分类号： G06F17/30256 , G06F17/30265
摘要： A content-based re-ranking (CBR) process may be performed on query results based on a selected keyword that is extracted from previous query results, and thereby increase a relevancy of search results. A search engine may perform the CBR process using a target image that is selected from a plurality of image search results, the CBR to identify re-ranked image search results. Keywords may be extracted from the re-ranked image search results. A portion of the keywords may be outputted as suggested keywords and made selectable by a user. Finally, a refined CBR process may be performed based on the target image and a received selection a suggested keyword, the refined CBR to output the refined image search results.
摘要翻译：可以基于从先前查询结果提取的所选择的关键字对查询结果执行基于内容的重新排序（CBR）处理，从而增加搜索结果的相关性。搜索引擎可以使用从多个图像搜索结果中选择的目标图像来执行CBR处理，CBR用于识别重新排序的图像搜索结果。可以从重新排序的图像搜索结果中提取关键字。关键字的一部分可以作为建议的关键字输出，并且可由用户选择。最后，可以基于目标图像和接收到的选择一个建议的关键字，精炼的CBR来输出精细图像搜索结果来执行精细的CBR处理。

6. 发明申请

US20110179021A1 DYNAMIC KEYWORD SUGGESTION AND IMAGE-SEARCH RE-RANKING 有权
标题翻译：动态关键词建议和图像搜索重新排序
公开(公告)号：US20110179021A1
公开(公告)日：2011-07-21
申请号：US12691181
申请日：2010-01-21
申请人： Fang Wen , Jian Sun
发明人： Fang Wen , Jian Sun
IPC分类号： G06F17/30
CPC分类号： G06F17/30256 , G06F17/30265
摘要： A content-based re-ranking (CBR) process may be performed on query results based on a selected keyword that is extracted from previous query results, and thereby increase a relevancy of search results. A search engine may perform the CBR process using a target image that is selected from a plurality of image search results, the CBR to identify re-ranked image search results. Keywords may be extracted from the re-ranked image search results. A portion of the keywords may be outputted as suggested keywords and made selectable by a user. Finally, a refined CBR process may be performed based on the target image and a received selection a suggested keyword, the refined CBR to output the refined image search results.
摘要翻译：可以基于从先前查询结果提取的所选择的关键字对查询结果执行基于内容的重新排序（CBR）处理，从而增加搜索结果的相关性。搜索引擎可以使用从多个图像搜索结果中选择的目标图像来执行CBR处理，CBR用于识别重新排序的图像搜索结果。可以从重新排序的图像搜索结果中提取关键字。关键字的一部分可以作为建议的关键字输出，并且可由用户选择。最后，可以基于目标图像和接收到的选择一个建议的关键字，精炼的CBR来输出精细图像搜索结果来执行精细的CBR处理。

7. 发明授权

US08687880B2 Real time head pose estimation 有权
标题翻译：实时头部姿态估计
公开(公告)号：US08687880B2
公开(公告)日：2014-04-01
申请号：US13425188
申请日：2012-03-20
申请人： Yichen Wei , Fang Wen , Jian Sun , Tommer Leyvand , Jinyu Li , Casey Meekhof , Tim Keosababian
发明人： Yichen Wei , Fang Wen , Jian Sun , Tommer Leyvand , Jinyu Li , Casey Meekhof , Tim Keosababian
IPC分类号： G06K9/62
CPC分类号： G06K9/00281 , G06K9/00362 , G06K2009/4666
摘要： Methods are provided for generating a low dimension pose space and using the pose space to estimate one or more head rotation angles of a user head. In one example, training image frames including a test subject head are captured under a plurality of conditions. For each frame an actual head rotation angle about a rotation axis is recorded. In each frame a face image is detected and converted to an LBP feature vector. Using principal component analysis a PCA feature vector is generated. Pose classes related to rotation angles about a rotation axis are defined. The PCA feature vectors are grouped into a pose class that corresponds to the actual rotation angle associated with the PCA feature vector. Linear discriminant analysis is applied to the pose classes to generate the low dimension pose space.
摘要翻译：提供了用于产生低维度姿态空间并且使用姿态空间来估计用户头部的一个或多个头部旋转角度的方法。在一个示例中，在多个条件下捕获包括测试对象头的训练图像帧。对于每个帧，记录关于旋转轴的实际头部旋转角度。在每帧中，检测到脸部图像并将其转换为LBP特征向量。使用主成分分析生成PCA特征向量。定义与旋转轴相关的旋转角度的姿态类。 PCA特征向量被分组为与PCA特征向量相关联的实际旋转角度对应的姿态类别。将线性判别分析应用于姿态类以生成低维姿态空间。

8. 发明申请

US20130251244A1 REAL TIME HEAD POSE ESTIMATION 有权
标题翻译：实时头枕估计
公开(公告)号：US20130251244A1
公开(公告)日：2013-09-26
申请号：US13425188
申请日：2012-03-20
申请人： Yichen Wei , Fang Wen , Jian Sun , Tommer Leyvand , Jinyu Li , Casey Meekhof , Tim Keosababian
发明人： Yichen Wei , Fang Wen , Jian Sun , Tommer Leyvand , Jinyu Li , Casey Meekhof , Tim Keosababian
IPC分类号： G06K9/68 , G06K9/62
CPC分类号： G06K9/00281 , G06K9/00362 , G06K2009/4666
摘要： Methods are provided for generating a low dimension pose space and using the pose space to estimate one or more head rotation angles of a user head. In one example, training image frames including a test subject head are captured under a plurality of conditions. For each frame an actual head rotation angle about a rotation axis is recorded. In each frame a face image is detected and converted to an LBP feature vector. Using principal component analysis a PCA feature vector is generated. Pose classes related to rotation angles about a rotation axis are defined. The PCA feature vectors are grouped into a pose class that corresponds to the actual rotation angle associated with the PCA feature vector. Linear discriminant analysis is applied to the pose classes to generate the low dimension pose space.
摘要翻译：提供了用于产生低维度姿态空间并且使用姿态空间来估计用户头部的一个或多个头部旋转角度的方法。在一个示例中，在多个条件下捕获包括测试对象头的训练图像帧。对于每个帧，记录关于旋转轴的实际头部旋转角度。在每帧中，检测到脸部图像并将其转换为LBP特征向量。使用主成分分析生成PCA特征向量。定义与旋转轴相关的旋转角度的姿态类。 PCA特征向量被分组为与PCA特征向量相关联的实际旋转角度对应的姿态类别。将线性判别分析应用于姿态类以生成低维姿态空间。

9. 发明授权

US09355179B2 Visual-cue refinement of user query results 有权
标题翻译：用户查询结果的视觉提示细化
公开(公告)号：US09355179B2
公开(公告)日：2016-05-31
申请号：US12890097
申请日：2010-09-24
申请人： Yu-Ting Kuo , Yi Li , Fang Wen , Qifa Ke , Jian Sun
发明人： Yu-Ting Kuo , Yi Li , Fang Wen , Qifa Ke , Jian Sun
IPC分类号： G06F17/30
CPC分类号： G06F17/30867 , G06F17/30651 , G06F17/30696
摘要： Methods and computer-storage media having computer-executable instructions embodied thereon that facilitate refining query results using visual cues are provided. Query results are determined in response to an indication of a user query. One or more groups of query results are generated from the query results based on categories of query results that share similar features. Visual cues are associated with each of the query result groups. Visual cues, in association with query result groups, are presented to a user. Query results associated with a selected visual cue may be presented to a user. A refined user query may be generated based on a selected visual cue.
摘要翻译：提供了具有实现在其上的计算机可执行指令的方法和计算机存储介质，其使用视觉提示便于精简查询结果。响应于用户查询的指示来确定查询结果。基于共享类似特征的查询结果的类别，从查询结果生成一组或多组查询结果。视觉线索与每个查询结果组相关联。与查询结果组相关联的视觉提示被呈现给用户。与所选择的视觉提示相关联的查询结果可以被呈现给用户。可以基于所选择的视觉提示来生成精细的用户查询。

10. 发明申请

US20100086214A1 FACE ALIGNMENT VIA COMPONENT-BASED DISCRIMINATIVE SEARCH 有权
标题翻译：通过基于组件的辨别搜索的面对齐
公开(公告)号：US20100086214A1
公开(公告)日：2010-04-08
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： G06K9/46
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。

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