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1. 发明授权

US07796040B2 Smart connector system for surgical machine 有权
标题翻译：手术机智能连接器系统
公开(公告)号：US07796040B2
公开(公告)日：2010-09-14
申请号：US12254416
申请日：2008-10-20
申请人： Victor Mezhinsky , Argelio Olivera , Kirk Todd , Mark Hopkins , Fang Wen
发明人： Victor Mezhinsky , Argelio Olivera , Kirk Todd , Mark Hopkins , Fang Wen
IPC分类号： G08B13/14
CPC分类号： A61F9/008 , A61B18/22 , A61B90/90 , A61B90/92 , A61B90/98 , A61B2017/00482 , A61B2017/00539 , A61B2017/00544 , A61B2090/0803 , A61B2090/0805 , A61B2090/0814 , A61F9/007
摘要： A smart connector system includes a machine connector disposed on a face of a surgical machine, an illumination ring located on the face of the surgical machine and disposed around a periphery of the machine connector, an RFID reader antenna located in close proximity to the machine connector and the face of the surgical machine, and an accessory connector adapted to couple with the machine connector. The accessory connector has an RFID tag antenna and is capable of attaching a tool to the surgical machine. When the accessory connector is brought within close proximity to the machine connector, a communications connection is established between the RFID tag antenna and the RFID reader antenna.
摘要翻译：智能连接器系统包括设置在外科手术机器的表面上的机器连接器，位于外科手术机器的表面上并且设置在机器连接器的周边周围的照明环，位于机器连接器附近的RFID读取器天线和外科手术机器的面部，以及适于与机器连接器联接的附件连接器。附件连接器具有RFID标签天线，并且能够将工具附接到外科手术机器。当附件连接器靠近机器连接器时，在RFID标签天线和RFID读取器天线之间建立通信连接。

2. 发明申请

US20080020714A1 Smart connector system for surgical machine 有权
公开(公告)号：US20080020714A1
公开(公告)日：2008-01-24
申请号：US11491068
申请日：2006-07-21
申请人： Victor B. Mezhinsky , Fang Wen , Argelio Olivera , Mark Hopkins , Kirk Todd
发明人： Victor B. Mezhinsky , Fang Wen , Argelio Olivera , Mark Hopkins , Kirk Todd
IPC分类号： H04B1/38
CPC分类号： A61F9/008 , A61B18/22 , A61B90/90 , A61B90/92 , A61B90/98 , A61B2017/00482 , A61B2017/00539 , A61B2017/00544 , A61B2090/0803 , A61B2090/0805 , A61B2090/0814 , A61F9/007
摘要： A smart connector system includes a machine connector disposed on a face of a surgical machine, an illumination ring located on the face of the surgical machine and disposed around a periphery of the machine connector, an RFID reader antenna located in close proximity to the machine connector and the face of the surgical machine, and an accessory connector adapted to couple with the machine connector. The accessory connector has an RFID tag antenna and is capable of attaching a tool to the surgical machine. When the accessory connector is brought within close proximity to the machine connector, a communications connection is established between the RFID tag antenna and the RFID reader antenna.

3. 发明授权

US07443296B2 Smart connector system for surgical machine 有权
标题翻译：手术机智能连接器系统
公开(公告)号：US07443296B2
公开(公告)日：2008-10-28
申请号：US11491068
申请日：2006-07-21
申请人： Victor B. Mezhinsky , Fang Wen , Argelio Olivera , Mark Hopkins , Kirk Todd
发明人： Victor B. Mezhinsky , Fang Wen , Argelio Olivera , Mark Hopkins , Kirk Todd
IPC分类号： G08B13/14
CPC分类号： A61F9/008 , A61B18/22 , A61B90/90 , A61B90/92 , A61B90/98 , A61B2017/00482 , A61B2017/00539 , A61B2017/00544 , A61B2090/0803 , A61B2090/0805 , A61B2090/0814 , A61F9/007
摘要： A smart connector system includes a machine connector disposed on a face of a surgical machine, an illumination ring located on the face of the surgical machine and disposed around a periphery of the machine connector, an RFID reader antenna located in close proximity to the machine connector and the face of the surgical machine, and an accessory connector adapted to couple with the machine connector. The accessory connector has an RFID tag antenna and is capable of attaching a tool to the surgical machine. When the accessory connector is brought within close proximity to the machine connector, a communications connection is established between the RFID tag antenna and the RFID reader antenna.
摘要翻译：智能连接器系统包括设置在外科手术机器的表面上的机器连接器，位于外科手术机器的表面上并且设置在机器连接器的周边周围的照明环，位于机器连接器附近的RFID读取器天线和外科手术机器的面部，以及适于与机器连接器联接的附件连接器。附件连接器具有RFID标签天线，并且能够将工具附接到外科手术机器。当附件连接器靠近机器连接器时，在RFID标签天线和RFID读取器天线之间建立通信连接。

4. 发明申请

US20090121838A1 Smart Connector System For Surgical Machine 有权
标题翻译：智能连接器系统外科手术机
公开(公告)号：US20090121838A1
公开(公告)日：2009-05-14
申请号：US12254416
申请日：2008-10-20
申请人： Victor B. Mezhinsky , Fang Wen , Argelio Olivera , Mark A. Hopkins , Kirk W. Todd
发明人： Victor B. Mezhinsky , Fang Wen , Argelio Olivera , Mark A. Hopkins , Kirk W. Todd
IPC分类号： H04Q5/22
CPC分类号： A61F9/008 , A61B18/22 , A61B90/90 , A61B90/92 , A61B90/98 , A61B2017/00482 , A61B2017/00539 , A61B2017/00544 , A61B2090/0803 , A61B2090/0805 , A61B2090/0814 , A61F9/007
摘要： A smart connector system includes a machine connector disposed on a face of a surgical machine, an illumination ring located on the face of the surgical machine and disposed around a periphery of the machine connector, an RFID reader antenna located in close proximity to the machine connector and the face of the surgical machine, and an accessory connector adapted to couple with the machine connector. The accessory connector has an RFID tag antenna and is capable of attaching a tool to the surgical machine. When the accessory connector is brought within close proximity to the machine connector, a communications connection is established between the RFID tag antenna and the RFID reader antenna.
摘要翻译：智能连接器系统包括设置在外科手术机器的表面上的机器连接器，位于外科手术机器的表面上并且设置在机器连接器的周边周围的照明环，位于机器连接器附近的RFID读取器天线和外科手术机器的面部，以及适于与机器连接器联接的附件连接器。附件连接器具有RFID标签天线，并且能够将工具附接到外科手术机器。当附件连接器靠近机器连接器时，在RFID标签天线和RFID读取器天线之间建立通信连接。

5. 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。

6. 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。

7. 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。

8. 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。

9. 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。

10. 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。

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