General pose refinement and tracking tool
    3.
    发明授权
    General pose refinement and tracking tool 有权
    一般姿势细化和跟踪工具

    公开(公告)号:US08437502B1

    公开(公告)日:2013-05-07

    申请号:US10949530

    申请日:2004-09-25

    CPC分类号: G06T7/73 G06K9/4604

    摘要: Per one embodiment, a method is provided for refining a pose estimate of a model. The model is coarsely aligned with a run-time image, and it represents a 2D pattern. The pose estimate includes at least one pose estimate parameter. The model has a plurality of model features, and the run-time image has a plurality of run-time features. A given distance value is determined representing a given distance between a given one of the plurality of the model features mapped by a given pose estimate and a corresponding given run-time feature. A two-dimensional model description of the two-dimensional model pattern is provided. The two-dimensional model pattern is mapped using the given pose estimate to create a transformed version of the two-dimensional model pattern. The transformed version represents a non-linear movement of at least portions of the two-dimensional model pattern in a direction orthogonal to a plane of the two-dimensional model description.

    摘要翻译: 根据一个实施例,提供了一种用于精简模型的姿态估计的方法。 该模型与运行时映像粗略对齐,它代表2D模式。 姿态估计包括至少一个姿势估计参数。 该模型具有多个模型特征,并且运行时图像具有多个运行时特征。 确定给定距离值,其表示由给定姿态估计映射的多个模型特征中的给定一个给定距离与相应的给定运行时间特征之间的给定距离。 提供二维模型模型的二维模型描述。 使用给定的姿态估计来映射二维模型模式以创建二维模型模式的变换版本。 变换的版本表示二维模型图案的至少部分在与二维模型描述的平面正交的方向上的非线性移动。

    FAST RECOGNITION ALGORITHM PROCESSING, SYSTEMS AND METHODS
    4.
    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:US20150023602A1

    公开(公告)日:2015-01-22

    申请号:US14332371

    申请日:2014-07-15

    IPC分类号: G06K9/62 G06F17/30 G06K9/46

    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。