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1. 发明申请

US20140368620A1 USER INTERFACE FOR THREE-DIMENSIONAL MODELING 有权
标题翻译：用户界面进行三维建模
公开(公告)号：US20140368620A1
公开(公告)日：2014-12-18
申请号：US13919933
申请日：2013-06-17
申请人： Zhiwei Li , Rui Cai , Jiawei Gu , Lei Zhang , Yong Rui
发明人： Zhiwei Li , Rui Cai , Jiawei Gu , Lei Zhang , Yong Rui
IPC分类号： H04N13/02 , H04N5/232
CPC分类号： H04N13/282 , G06F3/00 , G06T19/006 , H04N5/23216 , H04N5/23293 , H04N13/221 , H04N13/296
摘要： A method of acquiring a set of images useable to 3D model a physical object includes imaging the physical object with a camera, and displaying with the camera a current view of the physical object as imaged by the camera from a current perspective. The method further includes displaying with the camera a visual cue overlaying the current view and indicating perspectives from which the physical object is to be imaged to acquire the set of images.
摘要翻译：获取可用于对物理对象进行3D建模的一组图像的方法包括用相机对物理对象进行成像，并且从当前的角度通过相机显示物理对象的当前视图。该方法还包括用相机显示覆盖当前视图的视觉提示，并且指示要从其中成像物理对象的视角以获取该组图像。

2. 发明授权

US08326820B2 Long-query retrieval 有权
标题翻译：长查询检索
公开(公告)号：US08326820B2
公开(公告)日：2012-12-04
申请号：US12571302
申请日：2009-09-30
申请人： Zhiwei Li , Lei Zhang , Rui Cai , Wei-Ying Ma , Heung-Yeung Shum
发明人： Zhiwei Li , Lei Zhang , Rui Cai , Wei-Ying Ma , Heung-Yeung Shum
IPC分类号： G06F17/30
CPC分类号： G06F17/3028 , G06F17/30448
摘要： Described herein is a technology that facilitates efficient large-scale similarity-based retrieval. In several embodiments documents, images, and/or other multimedia files are compactly represented and efficiently indexed to enable robust search using a long-query in a large-scale corpus. As described herein, these techniques include performing decomposition of a file, e.g., a document or document-like representation. The techniques use dimension reduction to obtain three parts, topic-related words (major semantics), document specific words (minor semantics), and background words, representing the major semantics in a feature vector and the minor semantics as keywords. Using the techniques described, file vectors are matched in a topic model and the results ranked based on the keywords.
摘要翻译：这里描述了一种有助于有效的大规模相似性检索的技术。在几个实施例中，文档，图像和/或其他多媒体文件被紧凑地表示并且被有效地索引，以使得能够使用大规模语料库中的长查询进行鲁棒搜索。如这里所述，这些技术包括执行文件的分解，例如文档或类似文档的表示。这些技术使用维度缩减来获得三个部分，主题相关词（主要语义），文档特定词（次要语义）和背景词，表示特征向量中的主要语义和次要语义作为关键字。使用所描述的技术，在主题模型中匹配文件向量，并根据关键字对结果进行排名。

3. 发明申请

US20140029856A1 THREE-DIMENSIONAL VISUAL PHRASES FOR OBJECT RECOGNITION 有权
标题翻译：用于对象识别的三维视觉语法
公开(公告)号：US20140029856A1
公开(公告)日：2014-01-30
申请号：US13561718
申请日：2012-07-30
申请人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
发明人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
IPC分类号： G06K9/46
CPC分类号： G06K9/46 , G06K9/4676 , G06K9/469
摘要： The techniques discussed herein discover three-dimensional (3-D) visual phrases for an object based on a 3-D model of the object. The techniques then describe the 3-D visual phrases. Once described, the techniques use the 3-D visual phrases to detect the object in an image (e.g., object recognition).
摘要翻译：本文讨论的技术基于对象的3-D模型发现对象的三维（3-D）视觉短语。然后，技术描述3-D视觉短语。一旦描述，这些技术使用3-D视觉短语来检测图像中的对象（例如，对象识别）。

4. 发明申请

US20120301014A1 LEARNING TO RANK LOCAL INTEREST POINTS 审中-公开
标题翻译：学习排名本地兴趣点
公开(公告)号：US20120301014A1
公开(公告)日：2012-11-29
申请号：US13118282
申请日：2011-05-27
申请人： Rong Xiao , Rui Cai , Zhiwei Li , Lei Zhang
发明人： Rong Xiao , Rui Cai , Zhiwei Li , Lei Zhang
IPC分类号： G06K9/62 , G06K9/46
CPC分类号： G06K9/4676 , G06F16/583
摘要： Tools and techniques for learning to rank local interest points from images using a data-driven scale-invariant feature transform (SIFT) approach termed “Rank-SIFT” are described herein. Rank-SIFT provides a flexible framework to select stable local interest points using supervised learning. A Rank-SIFT application detects interest points, learns differential features, and implements ranking model training in the Gaussian scale space (GSS). In various implementations a stability score is calculated for ranking the local interest points by extracting features from the GSS and characterizing the local interest points based on the features being extracted from the GSS across images containing the same visual objects.
摘要翻译：本文描述了使用称为Rank-SIFT的数据驱动的尺度不变特征变换（SIFT）方法学习从图像对本地兴趣点进行排名的工具和技术。 Rank-SIFT提供了一个灵活的框架，使用监督学习选择稳定的本地兴趣点。 Rank-SIFT应用程序检测兴趣点，学习差异特征，并实现高斯尺度空间（GSS）中的排名模型训练。在各种实施方式中，通过从GSS提取特征并基于从包含相同视觉对象的图像从GSS提取的特征来表征局部兴趣点来计算稳定性分数以对局部兴趣点进行排名。

5. 发明授权

US09082040B2 Identifying visual contextual synonyms 有权
标题翻译：识别视觉上下文同义词
公开(公告)号：US09082040B2
公开(公告)日：2015-07-14
申请号：US13107717
申请日：2011-05-13
申请人： Rui Cai , Zhiwei Li , Lei Zhang , Wenbin Tang
发明人： Rui Cai , Zhiwei Li , Lei Zhang , Wenbin Tang
IPC分类号： G06F17/30 , G06K9/46
CPC分类号： G06K9/4671 , G06F17/30256 , G06K9/4676
摘要： Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.
摘要翻译：本文描述了用于识别视觉上下文同义词的工具和技术。所描述的操作使用具有相似语境分布的视觉词作为上下文同义词来识别和描述共享语义意义的视觉对象。使用共享视觉词的图像补丁上平均的同现和空间信息的统计来描述视觉词的语境分布。在各种实现中，使用这些技术来构建用于大型视觉词汇表的视觉上下文同义词字典。在各种实现中，视觉上下文同义词词典缩小了大规模视觉搜索的语义差距。

6. 发明授权

US08983201B2 Three-dimensional visual phrases for object recognition 有权
标题翻译：用于对象识别的三维视觉短语
公开(公告)号：US08983201B2
公开(公告)日：2015-03-17
申请号：US13561718
申请日：2012-07-30
申请人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
发明人： Rui Cai , Zhiwei Li , Lei Zhang , Qiang Hao
IPC分类号： G06K9/46 , G06K9/66
CPC分类号： G06K9/46 , G06K9/4676 , G06K9/469
摘要： The techniques discussed herein discover three-dimensional (3-D) visual phrases for an object based on a 3-D model of the object. The techniques then describe the 3-D visual phrases. Once described, the techniques use the 3-D visual phrases to detect the object in an image (e.g., object recognition).
摘要翻译：本文讨论的技术基于对象的3-D模型发现对象的三维（3-D）视觉短语。然后，技术描述3-D视觉短语。一旦描述，这些技术使用3-D视觉短语来检测图像中的对象（例如，对象识别）。

7. 发明申请

US20120290577A1 IDENTIFYING VISUAL CONTEXTUAL SYNONYMS 有权
标题翻译：识别视觉语境同步
公开(公告)号：US20120290577A1
公开(公告)日：2012-11-15
申请号：US13107717
申请日：2011-05-13
申请人： Rui Cai , Zhiwei Li , Lei Zhang , Wenbin Tang
发明人： Rui Cai , Zhiwei Li , Lei Zhang , Wenbin Tang
IPC分类号： G06F17/30
CPC分类号： G06K9/4671 , G06F17/30256 , G06K9/4676
摘要： Tools and techniques for identifying visual contextual synonyms are described herein. The described operations use visual words having similar contextual distributions as contextual synonyms to identify and describe visual objects that share semantic meaning. The contextual distribution of a visual word is described using the statistics of co-occurrence and spatial information averaged over image patches that share the visual word. In various implementations, the techniques are employed to construct a visual contextual synonym dictionary for a large visual vocabulary. In various implementations, the visual contextual synonym dictionary narrows the semantic gap for large-scale visual search.
摘要翻译：本文描述了用于识别视觉上下文同义词的工具和技术。所描述的操作使用具有相似语境分布的视觉词作为上下文同义词来识别和描述共享语义意义的视觉对象。使用共享视觉词的图像补丁上平均的同现和空间信息的统计来描述视觉词的语境分布。在各种实现中，使用这些技术来构建用于大型视觉词汇表的视觉上下文同义词字典。在各种实现中，视觉上下文同义词词典缩小了大规模视觉搜索的语义差距。

8. 发明申请

US20110078159A1 Long-Query Retrieval 有权
标题翻译：长查询检索
公开(公告)号：US20110078159A1
公开(公告)日：2011-03-31
申请号：US12571302
申请日：2009-09-30
申请人： Zhiwei Li , Lei Zhang , Rui Cai , Wei-Ying Ma , Heung-Yeung Shum
发明人： Zhiwei Li , Lei Zhang , Rui Cai , Wei-Ying Ma , Heung-Yeung Shum
IPC分类号： G06F17/30
CPC分类号： G06F17/3028 , G06F17/30448
摘要： Described herein is a technology that facilitates efficient large-scale similarity-based retrieval. In several embodiments documents, images, and/or other multimedia files are compactly represented and efficiently indexed to enable robust search using a long-query in a large-scale corpus. As described herein, these techniques include performing decomposition of a file, e.g., a document or document-like representation. The techniques use dimension reduction to obtain three parts, topic-related words (major semantics), document specific words (minor semantics), and background words, representing the major semantics in a feature vector and the minor semantics as keywords. Using the techniques described, file vectors are matched in a topic model and the results ranked based on the keywords.
摘要翻译：这里描述了一种有助于有效的大规模相似性检索的技术。在几个实施例中，文档，图像和/或其他多媒体文件被紧凑地表示并且被有效地索引，以使得能够使用大规模语料库中的长查询进行鲁棒搜索。如这里所述，这些技术包括执行文件的分解，例如文档或类似文档的表示。这些技术使用维度缩减来获得三个部分，主题相关词（主要语义），文档特定词（次要语义）和背景词，表示特征向量中的主要语义和次要语义作为关键字。使用所描述的技术，在主题模型中匹配文件向量，并根据关键字对结果进行排名。

9. 发明申请

US20170230641A1 OPTIMIZED OBJECT SCANNING USING SENSOR FUSION 审中-公开
公开(公告)号：US20170230641A1
公开(公告)日：2017-08-10
申请号：US15017799
申请日：2016-02-08
申请人： Michael Scavezze , Arthur Tomlin , Rui Cai , Zhiwei Li
发明人： Michael Scavezze , Arthur Tomlin , Rui Cai , Zhiwei Li
IPC分类号： H04N13/04 , G06T17/10 , G06T7/00 , H04N13/02 , H04N13/00
CPC分类号： H04N13/344 , G06T7/30 , G06T7/55 , G06T7/70 , G06T17/10 , G06T2207/10016 , G06T2207/10021 , G06T2207/10028 , G06T2207/30244 , H04N13/128 , H04N13/239
摘要： Sensor fusion is utilized in an electronic device such as a head mounted display (HMD) device that has a sensor package equipped with different sensors so that information that is supplemental to captured 2D images of objects or scenes in a real world environment may be utilized to determine an optimized transform of image stereo-pairs and to discard erroneous data that would otherwise prevent successful scans used for construction of a 3D model in, for example, virtual world applications. Such supplemental information can include one or more of world location, world rotation, image data from an extended field of view (FOV), or depth map data.

10. 发明授权

US09495453B2 Resource download policies based on user browsing statistics 有权
标题翻译：基于用户浏览统计的资源下载策略
公开(公告)号：US09495453B2
公开(公告)日：2016-11-15
申请号：US13114643
申请日：2011-05-24
申请人： Rui Cai , Xiaodong Fan , Lei Zhang
发明人： Rui Cai , Xiaodong Fan , Lei Zhang
IPC分类号： G06F7/00 , G06F17/30 , G06F17/00
CPC分类号： G06F17/30864 , G06F17/30705 , G06F17/30861 , G06F17/3089 , G06F17/30899
摘要： Web crawling polices are generated based on user web browsing statistics. User browsing statistics are aggregated at the granularity of resource identifier patterns (such as URL patterns) that denote groups of resources within a particular domain or website that share syntax at a certain level of granularity. The web crawl policies rank the resource identifier patterns according to their associated aggregated user browsing statistics. A crawl ordering defined by the web crawl polices is used to download and discover new resources within a domain or website.
摘要翻译：基于用户网络浏览统计信息生成Web爬行策略。用户浏览统计信息以资源标识符模式（例如URL模式）的粒度进行聚合，这些资源标识符模式表示特定域或网站中以特定粒度级别共享语法的资源组。网络爬网策略根据其关联的聚合用户浏览统计信息对资源标识符模式进行排序。由网络抓取策略定义的爬网排序用于下载和发现域或网站中的新资源。

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