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GPU Method for matching correspondence by using decision forest based on GPU

机译:基于GPU的决策树匹配对应的GPU方法

摘要

The present invention relates to a method for searching a corresponding point using a decision tree based on a GPU. The method of searching for a corresponding point includes: (a) receiving an image, examining a channel for the input image, and separating data for each image channel; (b) calculating a descriptor for an image pixel patch for all pixels in the input image; (c) performing a decision tree operation to obtain a pixel forest index for each pixel; (d) sorting the decision tree indices obtained for each pixel; (e) determining pixels having the same decision tree index as a corresponding point at a leaf node of the decision tree; (f) outputting information on pixels determined as a corresponding point. It is preferable that the method of searching for a corresponding point of the present invention is processed in parallel based on a GPU.
机译:本发明涉及一种用于基于GPU的使用决策树搜索对应点的方法。搜索对应点的方法包括:(a)接收图像,检查输入图像的通道,并为每个图像通道分离数据; (b)计算输入图像中所有像素的图像像素块的描述符; (c)执行决策树操作以获得每个像素的像素森林索引; (d)对每个像素获得的决策树索引进行排序; (e)确定具有与决策树的叶节点处的对应点相同的决策树索引的像素; (f)输出关于被确定为对应点的像素的信息。优选地,基于GPU并行地处理搜索本发明的对应点的方法。

著录项

  • 公开/公告号KR20200075190A

    专利类型

  • 公开/公告日2020-06-26

    原文格式PDF

  • 申请/专利权人 서강대학교산학협력단;

    申请/专利号KR20180163301

  • 发明设计人 서용덕;강현민;김병준;

    申请日2018-12-17

  • 分类号G06T17;G06T1/20;

  • 国家 KR

  • 入库时间 2022-08-21 11:06:40

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