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Description: SURF特征提取算法的演示程序,在大多情况下处理速度和精度都超过sift算法
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Size: 44265 |
Author: 马江林 |
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Description: SURF特征提取算法的演示程序,在大多情况下处理速度和精度都超过sift算法-SURF feature extraction algorithm demo program, in most of the cases deal with the speed and accuracy of more than sift algorithm
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Size: 90112 |
Author: 马江林 |
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Description: 一种特征描述算子,功能和sift类似,但比sift速度更快,有重要的研究价值-A characterization of operators, functions and sift similar, but faster than sift, has important research value
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Size: 1452032 |
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Description: scale invariant algorithm
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Size: 1745920 |
Author: Sivaramakrishna |
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Description: 基于SURF特征点的图像配准代码,可实现两幅图的特征提取及匹配-SURF feature points based on image registration code
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Size: 2074624 |
Author: yimeng |
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Description: Sift Surf example Sift Surf example
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Size: 2859008 |
Author: Mike |
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Description: In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, distinctiveness, and robustness, yet
can be computed and compared much faster.
This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a
distribution-based descriptor) and by simplifying these methods to the
essential. This leads to a combination of novel detection, description, and
matching steps. The paper presents experimental results on a standard
evaluation set, as well as on imagery obtained in the context of a real-life
object recognition application. Both show SURF’s strong performance.-In this paper, a novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust
Features) is presented. It approximates or even outperforms previously proposed
schemes with respect to repeatability, distinctiveness, and robustness, yet
can be computed and compared much faster.
This is achieved by relying on integral images for image convolutions by building on the strengths of the leading existing detectors and descriptors (in casu, using a Hessian matrix-based measure for the detector, and a
distribution-based descriptor) and by simplifying these methods to the
essential. This leads to a combination of novel detection, description, and
matching steps. The paper presents experimental results on a standard
evaluation set, as well as on imagery obtained in the context of a real-life
object recognition application. Both show SURF’s strong performance.
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Size: 686080 |
Author: yangwei |
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Description: implementation of SURF feature extractor
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Size: 98304 |
Author: 洪朝群 |
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Description: get the surf features from videos and generate the codebook
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Size: 1972224 |
Author: stoic |
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Description: SIFT算法、SURF算法和PCA—SIFT算法的实例,里面要安装OPENCV才能用的-SIFT algorithm, SURF algorithm and PCA-SIFT algorithm instance, which can be used to install OPENCV
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Size: 1756160 |
Author: 宋丹 |
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Description: SURF算法较SIFT算法速度快,SURF算法源代码。-SURF code
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Size: 90112 |
Author: 亚云 |
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Description: SURF特征检测,目前 最常用的方法,鲁棒性强,matlab代码-SURF feature detection, the most commonly used method, robust, matlab code
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Size: 2697216 |
Author: douyanyan |
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Description: 图像旋转不变特征提取与匹配的升级版,Speeded Up Robust Features-Speeded Up Robust Features
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Size: 1451008 |
Author: oujl |
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Description: surf代码,能够实现图像上surf特征点的检测和定位等-surf code, to surf on the feature points of image detection and positioning
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Size: 1230848 |
Author: huangxiaohua |
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Description: surf特征点提取以及相应的特征点匹配,C++程序-speed up robust features (SURF), feature matching.C++ Source code
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Size: 138240 |
Author: 兰虹丞 |
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Description: C++ implementation of performant scale- and rotation-invariant interest point detector and descriptor SURF: Speeded Up Robust Features
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Size: 104448 |
Author: Athos |
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Description: 同样是SURF 特征点提取和匹配算法的 MSVC 08 版本。-Also SURF feature extraction and matching algorithms MSVC 08 version.
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Size: 365568 |
Author: sleangao |
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Description: this is a surf algorithm
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Size: 89088 |
Author: kaiyit
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