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    Multiparty object recognition
    1.
    发明授权
    Multiparty object recognition 有权

    公开(公告)号：US12216811B2

    公开(公告)日：2025-02-04

    申请号：US16899518

    申请日：2020-06-11

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  John Wiacek ,  David McKinnon ,  Matheen Siddiqui

    IPC: G06F3/01 ,  A63F13/213 ,  A63F13/215 ,  A63F13/65 ,  G06F3/04815 ,  G06F3/04845 ,  G06T19/00 ,  H04L65/403

    Abstract: Multiparty object recognition systems and methods are disclosed. A method of interactively manipulating virtual object data, wherein an object database is configured to store first party object data that corresponds to a first real-world object and is further configured to store second party object data that corresponds to a second real-world object, includes obtaining the first party object data and the second party object data for storage within the object database. Access to the object database is controlled such that the first party object data and the second party object data is accessible to the first party and the second party. Modification of the first party object data by the second party is facilitated to generate modified first party object data that is in accordance with at least one context parameter of the second party object data, and the modified first party object data is communicated to the first party.

    Multiparty object recognition
    3.
    发明授权
    Multiparty object recognition 有权

    公开(公告)号：US10719123B2

    公开(公告)日：2020-07-21

    申请号：US14800554

    申请日：2015-07-15

    Applicant: Nant Holdings IP, LLC

    Inventor： Bing Song ,  John Wiacek ,  David McKinnon ,  Matheen Siddiqui

    IPC: G06F3/01 ,  G06F3/0488 ,  G06F3/048 ,  H04L29/06 ,  G06F3/0484 ,  G06F3/0481 ,  A63F13/65 ,  A63F13/213 ,  G06T19/00 ,  A63F13/215

    Abstract: Multiparty object recognition systems and methods are disclosed. A method of interactively manipulating virtual object data, wherein an object database is configured to store first party object data that corresponds to a first real-world object and is further configured to store second party object data that corresponds to a second real-world object, includes obtaining the first party object data and the second party object data for storage within the object database. Access to the object database is controlled such that the first party object data and the second party object data is accessible to the first party and the second party. Modification of the first party object data by the second party is facilitated to generate modified first party object data that is in accordance with at least one context parameter of the second party object data, and the modified first party object data is communicated to the first party.

    FAST RECOGNITION ALGORITHM PROCESSING, SYSTEMS AND METHODS
    6.
    发明申请
    FAST RECOGNITION ALGORITHM PROCESSING, SYSTEMS AND METHODS 有权
    快速识别算法处理，系统和方法

    公开(公告)号：US20170046571A1

    公开(公告)日：2017-02-16

    申请号：US15336754

    申请日：2016-10-27

    Applicant: Nant Holdings IP, LLC

    Inventor： Kamil Wnuk ,  Bing Song ,  Matheen Siddiqui ,  David McKinnon ,  Jeremi Sudol ,  Patrick Soon-Shiong ,  Orang Dialameh

    IPC: G06K9/00 ,  G06T11/60

    CPC classification number: G06K9/00671 ,  G06F17/30247 ,  G06F19/00 ,  G06F19/321 ,  G06K9/00718 ,  G06K9/6202 ,  G06T7/0014 ,  G06T11/60 ,  G06T2207/10016 ,  G06T2207/20004 ,  G16H30/40

    Abstract: 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.

    Abstract translation: 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。

    Invariant-based dimensional reduction of object recognition features, systems and methods
    7.
    发明授权
    Invariant-based dimensional reduction of object recognition features, systems and methods 有权
    基于不变量的对象识别特征，系统和方法的尺寸减少

    公开(公告)号：US09460366B2

    公开(公告)日：2016-10-04

    申请号：US14626706

    申请日：2015-02-19

    Applicant: Nant Holdings IP, LLC

    Inventor： Kamil Wnuk ,  Jeremi Sudol ,  Bing Song ,  Matheen Siddiqui ,  David McKinnon

    IPC: G06K9/62 ,  G06K9/46

    CPC classification number: G06K9/6232 ,  G06K9/4633 ,  G06K9/4671 ,  G06K9/623

    Abstract: A sensor data processing system and method is described. Contemplated systems and methods derive a first recognition trait of an object from a first data set that represents the object in a first environmental state. A second recognition trait of the object is then derived from a second data set that represents the object in a second environmental state. The sensor data processing systems and methods then identifies a mapping of elements of the first and second recognition traits in a new representation space. The mapping of elements satisfies a variance criterion for corresponding elements, which allows the mapping to be used for object recognition. The sensor data processing systems and methods described herein provide new object recognition techniques that are computationally efficient and can be performed in real-time by the mobile phone technology that is currently available.

    Abstract translation: 描述传感器数据处理系统和方法。 考虑的系统和方法从表示第一环境状态中的对象的第一数据集导出对象的第一识别特征。 然后从表示第二环境状态中的对象的第二数据集导出对象的第二识别特征。 然后，传感器数据处理系统和方法在新的表示空间中识别第一和第二识别特征的元素的映射。 元素的映射满足相应元素的方差标准，这允许映射用于对象识别。 本文描述的传感器数据处理系统和方法提供了新的对象识别技术，其在计算上是有效的并且可以通过当前可用的移动电话技术实时地执行。

    Object ingestion through canonical shapes, systems and methods
    10.
    发明授权
    Object ingestion through canonical shapes, systems and methods 有权

    公开(公告)号：US10095945B2

    公开(公告)日：2018-10-09

    申请号：US15297053

    申请日：2016-10-18

    Applicant: Nant Holdings IP, LLC

    Inventor： Kamil Wnuk ,  David McKinnon ,  Jeremi Sudol ,  Bing Song ,  Matheen Siddiqui

    IPC: G06K9/00 ,  G06F17/00 ,  G06K9/32 ,  G06F17/30 ,  G06K9/46 ,  G06T7/60 ,  G06T7/13

    Abstract: An object recognition ingestion system is presented. The object ingestion system captures image data of objects, possibly in an uncontrolled setting. The image data is analyzed to determine if one or more a priori know canonical shape objects match the object represented in the image data. The canonical shape object also includes one or more reference PoVs indicating perspectives from which to analyze objects having the corresponding shape. An object ingestion engine combines the canonical shape object along with the image data to create a model of the object. The engine generates a desirable set of model PoVs from the reference PoVs, and then generates recognition descriptors from each of the model PoVs. The descriptors, image data, model PoVs, or other contextually relevant information are combined into key frame bundles having sufficient information to allow other computing devices to recognize the object at a later time.

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