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    • 31. 发明授权
    • General pose refinement and tracking tool
    • 一般姿势细化和跟踪工具
    • US08437502B1
    • 2013-05-07
    • US10949530
    • 2004-09-25
    • Matheen SiddiquiJason Davis
    • Matheen SiddiquiJason Davis
    • G06K9/00G06K9/48G06K9/62G06K9/32
    • G06T7/73G06K9/4604
    • 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.
    • 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。
    • 32. 发明申请
    • Methods for finding and characterizing a deformed pattern in an image
    • 用于查找和表征图像中的变形图案的方法
    • US20050018904A1
    • 2005-01-27
    • US10625205
    • 2003-07-22
    • Jason Davis
    • Jason Davis
    • G06K9/00G06K9/64
    • G06T7/0079G06K9/6206
    • A method is disclosed for finding a deformed pattern in an image using a plurality of sub-patterns. By advantageously restricting sub-pattern search ranges, search speed is improved, and the incidence of spurious matches is reduced. The method also quickly decides which sub-pattern result, of several potential candidates, is most likely to be the correct match for a deformed sub-pattern. Also, a method is provided for characterizing a deformed pattern in an image by using results from feature-based search tools to create a mapping that models the deformation of the pattern. A transform, selectable by a user, is fit to the results from the search tools to create a global deformation mapping. This transformation is fit only to feature points derived from matches resulting from successful sub-pattern search, without including data from areas of the pattern that were blank, not matched, or otherwise didn't contain information about the pattern's distorted location.
    • 公开了一种使用多个子图案在图像中发现变形图案的方法。 通过有利地限制子图案搜索范围,提高了搜索速度,并且减少了错配匹配的发生。 该方法还快速地确定几个潜在候选者的哪个子模式结果最有可能是变形子模式的正确匹配。 此外,提供了一种通过使用基于特征的搜索工具的结果来表征图像中的变形图案以创建对图案的变形进行建模的映射的方法。 由用户选择的变换适用于搜索工具的结果,以创建全局变形映射。 该变换仅适合于从成功的子模式搜索产生的匹配导出的特征点,而不包括来自空白,不匹配的模式的区域的数据,或者否则不包含关于模式的失真位置的信息。
    • 36. 发明申请
    • METHOD FOR PARTITIONING A PATTERN INTO OPTIMIZED SUB-PATTERNS
    • 将图案分解为优化子图案的方法
    • US20120155768A1
    • 2012-06-21
    • US13330003
    • 2011-12-19
    • Jason DavisJuha Koljonen
    • Jason DavisJuha Koljonen
    • G06K9/34
    • G06T7/0042G06K9/469G06T7/12G06T7/162G06T7/73
    • A method is provided for dividing a pattern into a plurality of sub-patterns, each sub-pattern being adapted for use with an image search method that can provide a plurality of sub-pattern search results. The method represents the pattern as a plurality of feature points, generates candidate partitions of the plurality of feature points, and then scores the candidate partitions by examining characteristics of each potential sub-pattern of each candidate partition. The highest-scoring partition is selected, and then it is applied to the plurality of feature points, creating one or more sub-pluralities of features. The invention advantageously provides a plurality of sub-patterns where each sub-pattern contains enough information to be located with a feature-based search method, where that information has been pre-evaluated as being useful and particularly adapted for running feature-based searches.
    • 提供了一种用于将图案划分成多个子图案的方法,每个子图案适于与能够提供多个子图案搜索结果的图像搜索方法一起使用。 该方法表示作为多个特征点的图案,生成多个特征点的候选分区,然后通过检查每个候选分区的每个潜在子模式的特征来对候选分区进行分数。 选择最高分数分区,然后将其应用于多个特征点,创建一个或多个子多个特征。 本发明有利地提供了多个子模式,其中每个子模式包含足够的信息以使用基于特征的搜索方法来定位,其中该信息已被预先评估为有用的并且特别适用于运行基于特征的搜索。
    • 40. 发明申请
    • Method for partitioning a pattern into optimized sub-patterns
    • 将模式划分为优化子模式的方法
    • US20050117801A1
    • 2005-06-02
    • US10625201
    • 2003-07-22
    • Jason DavisJuha Koljonen
    • Jason DavisJuha Koljonen
    • G06K9/34G06K9/46G06T5/00G06T7/00
    • G06T7/0042G06K9/469G06T7/12G06T7/162G06T7/73
    • A method is provided for dividing a pattern into a plurality of sub-patterns, each sub-pattern being adapted for use with an image search method that can provide a plurality of sub-pattern search results. The method represents the pattern as a plurality of feature points, generates candidate partitions of the plurality of feature points, and then scores the candidate partitions by examining characteristics of each potential sub-pattern of each candidate partition. The highest-scoring partition is selected, and then it is applied to the plurality of feature points, creating one or more sub-pluralities of features. The invention advantageously provides a plurality of sub-patterns where each sub-pattern contains enough information to be located with a feature-based search method, where that information has been pre-evaluated as being useful and particularly adapted for running feature-based searches.
    • 提供了一种用于将图案划分成多个子图案的方法,每个子图案适于与能够提供多个子图案搜索结果的图像搜索方法一起使用。 该方法表示作为多个特征点的图案,生成多个特征点的候选分区,然后通过检查每个候选分区的每个潜在子模式的特征来对候选分区进行分数。 选择最高分数分区,然后将其应用于多个特征点,创建一个或多个子多个特征。 本发明有利地提供了多个子模式,其中每个子模式包含足够的信息以使用基于特征的搜索方法来定位,其中该信息已被预先评估为有用的并且特别适用于运行基于特征的搜索。