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公开(公告)号：US20160117571A1
公开(公告)日：2016-04-28
申请号：US14989504
申请日：2016-01-06
发明人： Gabriel Othmezouri , Chiro Sakata , Bernt Schele , Stefan Walk , Nikodem Majer , Konrad Schindler
CPC分类号： G06K9/6215 , G06K9/00369 , G06K9/4642 , G06K9/4647 , G06K9/4652 , G06K9/52 , G06K9/6267 , G06K2009/4666 , G06T7/60 , G06T7/90 , G06T2207/20021
摘要： An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.
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公开(公告)号：US09569694B2
公开(公告)日：2017-02-14
申请号：US14989504
申请日：2016-01-06
发明人： Gabriel Othmezouri , Ichiro Sakata , Bernt Schiele , Stefan Walk , Nikodem Majer , Konrad Schindler
CPC分类号： G06K9/6215 , G06K9/00369 , G06K9/4642 , G06K9/4647 , G06K9/4652 , G06K9/52 , G06K9/6267 , G06K2009/4666 , G06T7/60 , G06T7/90 , G06T2207/20021
摘要： An image processor (10) has a window selector for choosing a detection window within the image, and a self similarity computation part (40) for determining self-similarity information for a group of the pixels in any part of the detection window, to represent an amount of self-similarity of that group to other groups in any other part of the detector window, and for repeating the determination for groups in all parts of the detection window, to generate a global self similarity descriptor for the detection window. A classifier (50) is used for classifying whether an object is present based on the global self-similarity descriptor. By using global self-similarity rather than local similarities more information is captured which can lead to better classification. In particular, it helps enable recognition of more distant self-similarities inherent in the object, and self-similarities present at any scale.
摘要翻译： 图像处理器（10）具有用于选择图像内的检测窗口的窗口选择器，以及用于确定检测窗口的任何部分中的一组像素的自相似度信息的自相似度计算部分（40），以表示 该组与检测器窗口的任何其他部分中的其他组的自相似量，并且用于重复对检测窗口的所有部分中的组的确定，以生成用于检测窗口的全局自相似性描述符。 分类器（50）用于基于全局自相似性描述符来分类对象是否存在。 通过使用全局自相似性而不是局部相似性，可以获得更多的信息，从而导致更好的分类。 特别地，它有助于识别对象中固有的更远的自相似性，以及任何规模存在的自相似性。
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