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介绍了sift的核心知识,具有很强的实用价值
Date : 2008-10-13 Size : 195.41kb User : sunyan

非常有用
Date : 2010-10-06 Size : 2.11mb User : yangliang@vip.qq.com

介绍了sift的核心知识,具有很强的实用价值-Sift introduce a core of knowledge, has a strong practical value
Date : 2025-12-24 Size : 195kb User : sunyan

图像处理SIFT算法的原理。很好的原版文章-SIFT algorithm for image processing principle. Very good original article
Date : 2025-12-24 Size : 479kb User : zy

采用简化SIFT算法实现快速图像匹配,相当实用的文章-Simplified fast SIFT image matching algorithm
Date : 2025-12-24 Size : 220kb User : zy

图像特征提取:多元量化 SIFT 视觉特征提取方法 -Image feature extraction
Date : 2025-12-24 Size : 223kb User : zyf

用于Asift角点选取方法的研究和配准,利用进一步学习。-For research and registration Sift corner selection method, the use of further study.
Date : 2025-12-24 Size : 7.14mb User : xing

SURF意指 加速的具有鲁棒性的特征,由Bay在2006年首次提出,这项技术可以应用于计算机视觉的物体识别以及3D重构中。SURF算子由SIFT算子改进而来,一般来说,标准的SURF算子比SIFT算子快好几倍,并且在多幅图片下具有更好的鲁棒性。SURF最大的特征在于采用了harr特征以及积分图像integral image的概念,这大大加快了程序的运行时间。-SURF (Speeded Up Robust Feature) is a robust local feature detector, first presented by Herbert Bay et al. in 2006, that can be used in computer vision tasks like object recognition or 3D reconstruction. It is partly inspired by the SIFT descriptor. The standard version of SURF is several times faster than SIFT and claimed by its authors to be more robust against different image transformations than SIFT. SURF is based on sums of 2D Haar wavelet responses and makes an efficient use of integral images.
Date : 2025-12-24 Size : 2.31mb User :
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