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[Special Effects] OPEN-SURF DL : 0: 基于OPEN的SURF算法
Date : 2011-03-09 Size : 1.53mb User : sunshine_upc@163.com
[Other resource] SURF的vc实现 DL : 1: surf图像处理算法的vc实现
Date : 2011-06-13 Size : 2.33mb User : careyee@gmail.com
[Special Effects] SURF实现 DL : 0: SURF算法的VC实现
Date : 2011-09-07 Size : 10.38kb User : zhongxing050220103@126.com
[GDI-Bitmap] SURF-V1.0.9-WinDLLVC DL : 0: 基于OpenCV的SURF算法实现。
Date : 2011-10-26 Size : 96.49kb User : huakaizhishi@126.com
[Special Effects] surf特征提取算法源码 DL : 1: surf特征提取算法源码，用opencv实现，可用于特征匹配、图像拼接等
Date : 2012-03-29 Size : 320.55kb User : zhongwenkun886
[Special Effects] surf特征点匹配 DL : 0: 很好的特征点匹配算法—surf，性能好于harris和sift，并且使用C++和matlab混合编程，速度更快，更加准确！
Date : 2012-06-21 Size : 1.22mb User : youwen1022
[matlab] surf(peaks) DL : 0: 试创建一个伴随surf的现场菜单,包括四个菜单项:春色,夏色,秋色,冬色.-try to create a scene with surf the menu, including four menu items : Spring, summer colors, Autumn and winter color.
Date : 2025-07-16 Size : 141kb User : jiyilee
[Special Effects] SURF-V1.0.9-WinDLL DL : 0: 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
Date : 2025-07-16 Size : 88kb User : 马江林
[Other] surf DL : 0: SURF算法是继SIFT算法后的又一图像不变特征检测算法，除了具有SIFT算法稳定高效的特点外，还极大的降低了SIFT算法复杂度，大大提高了特征检测和匹配的实时性。这里上传的SURF算法的实现源代码-An interest point detection scheme is presented that is comparable in quality to existing methods, but can be performed much faster. The detection is based on a straightforward color analysis at a coarse granularity.Testing confirms that this detection scheme is much faster than the state-of-the-art. It is also repeatable, even under different viewing conditions. The detector is robust with respect to changes in viewpoint, lighting, zoom, and to a certain extent, rotation.
Date : 2025-07-16 Size : 4.34mb User : 翟永
[Graph program] SURF-V1.0.9-WinDLL DL : 0: 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
Date : 2025-07-16 Size : 1.98mb User : yimeng
[Special Effects] iav07-surf DL : 0: Detecting, identifying, and recognizing salient regions or feature points in images is a very important and fundamental problem to the computer vision and robotics community. Tasks like landmark detection and visual odometry, but also object recognition benefit from stable and repeatable salient features that are invariant to a variety of effects like rotation, scale changes, view point changes, noise, or change in illumination conditions. Recently, two promising new approaches, SIFT and SURF, have been published. In this paper we compare and evaluate how well different available implementations of SIFT and SURF perform in terms of invariancy and runtime efficiency.
Date : 2025-07-16 Size : 849kb User : yangwei
[Graph program] surf DL : 0: 2006年，SURF特征成为了类似于SIFT的一个替代品，速度是SIFT的三倍，该程序提供了SURF特征的提取与匹配方法，C++代码，需要OPENCV-SURF feature extraction
Date : 2025-07-16 Size : 3kb User : zzzffflll
[Graph Recognize] SURF-V1.0.9-WinDLLVC8 DL : 0: implementation of SURF feature extractor
Date : 2025-07-16 Size : 96kb User : 洪朝群
[Graph program] SURF DL : 0: SURF角点检测 This paper describes a new approach to low level image processing in particular, edge and corner detection and structure preserving noise reduction. Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature detectors are based on the minimization of this local image region, and the noise reduction method uses this region as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast. Details of the new feature detectors and of the new noise reduction method are described, along with test results.-This paper describes a new approach to low level image processing in particular, edge and corner detection and structure preserving noise reduction. Non-linear filtering is used to define which parts of the image are closely related to each individual pixel each pixel has associated with it a local image region which is of similar brightness to that pixel. The new feature detectors are based on the minimization of this local image region, and the noise reduction method uses this region as the smoothing neighbourhood. The resulting methods are accurate, noise resistant and fast. Details of the new feature detectors and of the new noise reduction method are described, along with test results.
Date : 2025-07-16 Size : 2.47mb User : nana
[Linux-Unix] surf-1.02.tar DL : 0: surf模拟，但仅在Linux下运行。压缩包解压时不能有密码。-surf simulation, but only in Linux. Archive decompression, can not have the password.
Date : 2025-07-16 Size : 24kb User : 付海婧
[Windows Develop] surf-1.0.6.tar DL : 0: surf-1.0.6.tar.gz surf算法c源码-surf-1.0.6.tar.gz surf algorithm c source
Date : 2025-07-16 Size : 462kb User : 小强
[CSharp] surf DL : 0: Es un método para calcular el comportamiento del metodo surf
Date : 2025-07-16 Size : 1.08mb User : Rey
[Windows Develop] SURF DL : 0: SURF源码，主要是针对SURF的C++实现，包括一个头文件和一个CPP文件-SURF source code using C++
Date : 2025-07-16 Size : 10kb User : Wilson
[Special Effects] SURF-V2 DL : 0: surf在vc7.0下的开发版本，可以用来对图片中的物体进行特征提取-surf under the vc7.0 development version can be used to image objects in the feature extraction
Date : 2025-07-16 Size : 96kb User : 阿斯顿
[OpenCV] SURF DL : 0: surf算法的OpenCV实现，Linux的-OpenCV implementation surf algorithm, Linux' s
Date : 2025-07-16 Size : 1.38mb User : ToT

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