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    • 52. 发明授权
    • Vectorization of line drawings using global topology and storing in hybrid form
    • 使用全局拓扑和混合形式存储的线图的向量化
    • US08766982B2
    • 2014-07-01
    • US12843822
    • 2010-07-26
    • Gioacchino NorisAlexander HornungRobert SumnerMaryann SimmonsMarkus Gross
    • Gioacchino NorisAlexander HornungRobert SumnerMaryann SimmonsMarkus Gross
    • G06T11/20
    • G06K9/481G06K9/00416
    • An animation system can vectorize an image by generating, from an input drawing, a dataset corresponding to vector and digital representations of the input drawing such that a rendering engine could render an image having features in common with the input drawing from the representations, as a collection of strokes and/or objects rather than merely a collection of pixels having pixel color values. A vectorizer might receive an input image, generate a particle clustering data structure from a digitization of the input image, generate a stroke list, wherein strokes in the stroke list correspond to clusters of particles represented in the particle clustering data structure, generate a graph structure that represents connections between strokes on the stroke list, and determine additional characteristics of a stroke beyond the path of the stroke, additional characteristics being stored such that they correspond to strokes. The strokes might be generated using global topology information.
    • 动画系统可以通过从输入图形生成对应于输入图形的向量和数字表示的数据集来矢量化图像,使得渲染引擎可以从表示形式呈现具有与输入图形共同的特征的图像,作为 笔画和/或对象的集合,而不仅仅是具有像素颜色值的像素的集合。 向量化器可以接收输入图像,从输入图像的数字化生成粒子聚类数据结构,生成笔画列表,其中笔画列表中的笔画对应于在粒子聚类数据结构中表示的粒子簇,生成图形结构 其表示笔划列表上的笔画之间的连接,并且确定笔划的额外特征超出笔画的路径,附加特征被存储使得它们对应于笔画。 可以使用全局拓扑信息生成笔画。
    • 53. 发明授权
    • Computer-readable storage medium, image recognition apparatus, image recognition system, and image recognition method
    • 计算机可读存储介质,图像识别装置,图像识别系统和图像识别方法
    • US08705869B2
    • 2014-04-22
    • US13196299
    • 2011-08-02
    • Satoru Osako
    • Satoru Osako
    • G06K9/46G06K9/68
    • G06K9/3241G06K9/481G06K9/6203G06K9/6204
    • First, it is determined whether or not a contour or vertices have been detected from a certain image. Then, when it is determined that a contour or vertices have been detected from the certain image, a pattern matching process is performed on, in the image, an area surrounded by the contour or the vertices detected from the image. Then, when it is determined that a predetermined object or a predetermined design is displayed in the area, detection position information indicating a position related to the area is stored in a storage area. On the other hand, when it is determined that a contour or vertices have not been detected from the certain image, a pattern matching process is performed on the image on the basis of the detection position information stored in the storage area.
    • 首先,确定是否从特定图像检测到轮廓或顶点。 然后,当确定从特定图像中检测到轮廓或顶点时,在图像中对由图像检测到的轮廓或顶点包围的区域执行模式匹配处理。 然后,当确定在该区域中显示预定对象或预定设计时,指示与该区域相关的位置的检测位置信息被存储在存储区域中。 另一方面,当确定没有从特定图像中检测到轮廓或顶点时,基于存储在存储区域中的检测位置信息对图像执行图案匹配处理。
    • 59. 发明授权
    • Method for fast, robust, multi-dimensional pattern recognition
    • 快速,健壮,多维模式识别的方法
    • US08249362B1
    • 2012-08-21
    • US11028076
    • 2004-12-31
    • William M. SilverE. John McGarry
    • William M. SilverE. John McGarry
    • G06K9/62
    • G06K9/6201G06K9/481G06K9/6204
    • Disclosed is a method for determining the absence or presence of one or more instances of a predetermined pattern in an image, and for determining the location of each found instance within a multidimensional space. A model represents the pattern to be found, the model including a plurality of probes. Each probe represents a relative position at which a test is performed in an image at a given pose, each such test contributing evidence that the pattern exists at the pose. The method further includes a comparison of the model with a run-time image at each of a plurali of poses. A match score is computed at each pose to provide a match score surface. Then, the match score is compared with an accept threshold, and used to provide the location any instances of the pattern in the image.
    • 公开了一种用于确定图像中的预定图案的一个或多个实例的不存在或不存在以及用于在多维空间内确定每个找到的实例的位置的方法。 模型代表要发现的模式,该模型包括多个探针。 每个探针表示在给定姿势下在图像中进行测试的相对位置,每个这样的测试提供了该模式存在于姿势的证据。 该方法还包括在多个姿势中的每一个处的模型与运行时图像的比较。 在每个姿态计算匹配得分以提供匹配得分表面。 然后,匹配得分与接受阈值进行比较,并用于提供图像中图案的任何实例的位置。
    • 60. 发明授权
    • Method for fast, robust, multi-dimensional pattern recognition
    • 快速,健壮,多维模式识别的方法
    • US08244041B1
    • 2012-08-14
    • US11029104
    • 2004-12-31
    • William M. SilverE. John McGarryNigel J. FosterSanjay Nichani
    • William M. SilverE. John McGarryNigel J. FosterSanjay Nichani
    • G06K9/62
    • G06K9/6201G06K9/481G06K9/6204
    • Disclosed is a method for determining the absence or presence of one or more instances of a predetermined pattern in an image, and for determining the location of each found instance within a multidimensional space. A model represents the pattern to be found, the model including a plurality of probes. Each probe represents a relative position at which a test is performed in an image at a given pose, each such test contributing evidence that the pattern exists at the pose. The method further includes a comparison of the model with a run-time image at each of a plurality of poses. A match score is computed at each pose to provide a match score surface. Then, the match score is compared with an accept threshold, and used to provide the location any instances of the pattern in the image.
    • 公开了一种用于确定图像中的预定图案的一个或多个实例的不存在或不存在以及用于在多维空间内确定每个找到的实例的位置的方法。 模型代表要发现的模式,该模型包括多个探针。 每个探针表示在给定姿势下在图像中进行测试的相对位置,每个这样的测试提供了该模式存在于姿势的证据。 该方法还包括在多个姿势中的每个姿势下的模型与运行时图像的比较。 在每个姿态计算匹配得分以提供匹配得分表面。 然后,匹配得分与接受阈值进行比较,并用于提供图像中图案的任何实例的位置。