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sift

于 2019-07-08 发布 文件大小:645KB
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  SIFT,即尺度不变特征变换(Scale-invariant feature transform,SIFT),是用于图像处理领域的一种描述。这种描述具有尺度不变性,可在图像中检测出关键点,是一种局部特征描述子。 该方法于 1999 年由 David Lowe 首先发表于计算机视觉国际会议(International Conference on Computer Vision,ICCV),2004 年再次经 David Lowe 整理完善后发表于 International journal of computer vision(IJCV) 。截止 2014 年 8 月,该论文单篇被引次数达 25000 余次。(来自百度)(SIFT, namely Scale-invariant feature transform (SIFT), is a description used in the field of image processing. This description has scale invariance and can detect key points in images. It is a local feature descriptor. This method was first published by David Lowe at the International Conference on Computer Vision (ICCV) in 1999 and published in the International Journal of Computer Vision (IJCV) in 2004 after it was sorted out and perfected by David Lowe again. As of August 2014, more than 25,000 citations have been cited. (From Baidu))

文件列表:

Distinctive Image Features from Scale-Invariant Keypoints.pptx, 701551 , 2018-12-19

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