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公开(公告)号：US11837027B2
公开(公告)日：2023-12-05
申请号：US17551070
申请日：2021-12-14
发明人： Kamil Wnuk , Nicholas J. Witchey
IPC分类号： G06V40/20 , G06T11/20 , G06F16/23 , G06F16/28 , G06F16/22 , G06F16/783 , G06F16/901 , G06F16/2457 , G06V10/426 , G06V20/10 , G06V40/10 , G06F18/22 , B25J9/16
CPC分类号： G06V40/23 , B25J9/1697 , G06F16/2228 , G06F16/23 , G06F16/24578 , G06F16/285 , G06F16/7837 , G06F16/9024 , G06F18/22 , G06T11/206 , G06V10/426 , G06V20/10 , G06V40/10
摘要： An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.
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公开(公告)号：US11710282B2
公开(公告)日：2023-07-25
申请号：US17505576
申请日：2021-10-19
发明人： Matheen Siddiqui , Kamil Wnuk
CPC分类号： G06T19/006 , G06T7/20 , G06T7/73 , G06T15/50 , G06T15/80 , G06T17/20 , G06T2200/04 , G06T2207/20081 , G06T2215/16
摘要： Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.
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公开(公告)号：US11176754B2
公开(公告)日：2021-11-16
申请号：US16883966
申请日：2020-05-26
发明人： Matheen Siddiqui , Kamil Wnuk
摘要： Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.
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公开(公告)号：US20200286296A1
公开(公告)日：2020-09-10
申请号：US16883966
申请日：2020-05-26
发明人： Matheen Siddiqui , Kamil Wnuk
摘要： Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.
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公开(公告)号：US10664518B2
公开(公告)日：2020-05-26
申请号：US16168419
申请日：2018-10-23
发明人： David McKinnon , Kamil Wnuk , Jeremi Sudol , Matheen Siddiqui , John Wiacek , Bing Song , Nicholas J. Witchey
IPC分类号： G09G5/00 , G06F16/58 , G06T19/00 , G06F16/29 , G06F16/50 , G06F16/583 , G06F16/9535 , G06T15/20
摘要： Apparatus, methods and systems of providing AR content are disclosed. Embodiments of the inventive subject matter can obtain an initial map of an area, derive views of interest, obtain AR content objects associated with the views of interest, establish experience clusters and generate a tile map tessellated based on the experience clusters. A user device could be configured to obtain and instantiate at least some of the AR content objects based on at least one of a location and a recognition.
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公开(公告)号：US10467523B2
公开(公告)日：2019-11-05
申请号：US15818462
申请日：2017-11-20
发明人： Kamil Wnuk , Jeremi Sudol , Shahrooz Rabizadeh , Patrick Soon-Shiong , Christopher Szeto , Charles Vaske
摘要： Techniques are provided for predicting DNA accessibility. DNase-seq data files and RNA-seq data files for a plurality of cell types are paired by assigning DNase-seq data files to RNA-seq data files that are at least within a same biotype. A neural network is configured to be trained using batches of the paired data files, where configuring the neural network comprises configuring convolutional layers to process a first input comprising DNA sequence data from a paired data file to generate a convolved output, and fully connected layers following the convolutional layers to concatenate the convolved output with a second input comprising gene expression levels derived from RNA-seq data from the paired data file and process the concatenation to generate a DNA accessibility prediction output. The trained neural network is used to predict DNA accessibility in a genomic sample input comprising RNA-seq data and whole genome sequencing for a new cell type.
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公开(公告)号：US20190206137A1
公开(公告)日：2019-07-04
申请号：US16259774
申请日：2019-01-28
发明人： Matheen Siddiqui , Kamil Wnuk
摘要： Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.
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公开(公告)号：US10192365B2
公开(公告)日：2019-01-29
申请号：US15707815
申请日：2017-09-18
发明人： Matheen Siddiqui , Kamil Wnuk
摘要： Methods for rendering augmented reality (AR) content are presented. An a priori defined 3D albedo model of an object is leveraged to adjust AR content so that is appears as a natural part of a scene. Disclosed devices recognize a known object having a corresponding albedo model. The devices compare the observed object to the known albedo model to determine a content transformation referred to as an estimated shading (environmental shading) model. The transformation is then applied to the AR content to generate adjusted content, which is then rendered and presented for consumption by a user.
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公开(公告)号：US20180260962A1
公开(公告)日：2018-09-13
申请号：US15974627
申请日：2018-05-08
发明人： Kamil Wnuk
IPC分类号： G06T7/246
CPC分类号： G06T7/246 , G06T2207/10016 , G06T2207/20081 , G06T2207/20164 , G06T2207/30241
摘要： Image feature trackability ranking systems and methods are disclosed. A method of establishing a trackability ranking order from tracked image features within a training video sequence at a tracking analysis device includes establishing a tracking region within the training video sequence using a feature detection algorithm. Trajectories of tracked image features within the tracking region are compiled using a feature tracking algorithm. Saliency metrics are assigned to each one of the trajectories of tracked image features based on one or more feature property measurements within the tracking region, and a trackability ranking algorithm that is a function of the saliency metrics and a defined feature trajectory ranking associated with the training video sequence is determined, the trackability ranking algorithm being usable for ranking, based on trackability, tracked image features within another video sequence.
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公开(公告)号：US20170046571A1
公开(公告)日：2017-02-16
申请号：US15336754
申请日：2016-10-27
发明人： Kamil Wnuk , Bing Song , Matheen Siddiqui , David McKinnon , Jeremi Sudol , Patrick Soon-Shiong , Orang Dialameh
CPC分类号： G06K9/00671 , G06F17/30247 , G06F19/00 , G06F19/321 , G06K9/00718 , G06K9/6202 , G06T7/0014 , G06T11/60 , G06T2207/10016 , G06T2207/20004 , G16H30/40
摘要： Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.
摘要翻译： 提出了快速识别或区分许多物体的系统和方法。 考虑的系统包括存储与已知建模对象相关联的识别模型的对象模型数据库。 可以基于从建模对象的关键帧导出的识别特征，在对象模型数据库中对对象标识符进行索引。 这样的对象在稍后的时间被识别引擎识别。 识别引擎可以基于当前上下文构建识别策略，其中识别策略包括用于在场景的数字表示上执行一个或多个识别算法的规则。 识别引擎可以识别来自对象模型数据库的对象，然后尝试识别与上下文相关的关键帧束，然后可以将其用于跟踪对象或查询内容数据库以获得内容信息。
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