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Description: scale invariant algorithm
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Size: 1745920 |
Author: Sivaramakrishna |
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Description: 主要是实现了图像匹配和图像配准,是一个很不错的算法模块-Achieved mainly image matching and image registration, is a very good algorithm module
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Size: 1451008 |
Author: 刘军学 |
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Description: SIFT简化后的算法,速度快 特征点检测,检测特征点的一种非常有效的算法-SURF SURFmex example function,is very useful!!!
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Size: 1132544 |
Author: 李蒙 |
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Description: Surf,特征点检测算法,比sift还好的算法
论文和代码-Surf, feature point detection algorithm, the algorithm better than the paper sift and code
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Size: 2443264 |
Author: may |
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Description: you can detect feature points in any image. OpenCV is needed..
it uses surf algorithm to do so
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Size: 67584 |
Author: jack |
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Description: surf feature extraction algorithm code written in Visual Studio 8.0
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Size: 7134208 |
Author: You-Sun Kim |
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Description: SURF (Speeded Up Robust Features)
http://en.wikipedia.org/wiki/SURF
测试了很多surf的源代码 这个带有匹配的演示例子很不错-code from: http://code.google.com/p/opensurf1/downloads/list
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Size: 118784 |
Author: linlin |
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Description: opencv是图像处理中常用到的工具箱,本资料为基于此工具箱的图像处理匹配算法SURF的实现代码。-opencv is commonly used in image processing to the toolbox, the toolbox based on this information for the image processing algorithm to match the achievement of SURF code.
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Size: 2444288 |
Author: 吴若鸿 |
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Description: SURF算法为SIFT算法的改进,运算速度得到了很大的提高。本资料为基于MATLAB的SURF算法实现,对图像匹配的研究方向会有一定帮助。-SURF algorithm SIFT algorithm, computing speed has been greatly improved. MATLAB based on the information of the SURF algorithm for image matching the direction of the research will certainly help.
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Size: 1154048 |
Author: 吴若鸿 |
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Description: 基于MATLAB的数学图形制作
过具体实例研究MATLAB绘制二维图形和三维图形的plot、ezplot、mesh、surf、ezmesh、ezsurf、
plot3等几个作图函数,说明它们的使用方法和技巧。-MATLAB-based graphical mathematical study of the production of any specific examples of MATLAB graphics drawing two-dimensional and three-dimensional graphics plot, ezplot, mesh, surf, ezmesh, ezsurf, plot3 several mapping functions, the use of their methods and techniques.
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Size: 571392 |
Author: 吕大 |
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Description: SURF feature descriptor
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Size: 432128 |
Author: Santa |
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Description: This submission contains a function that computes face normal data for the VertexNormals property of the surface that fixes the lighting (facenorm.m) as well as a workaround function that you can just use in place of surf (surfo.m).
Only use this if you get erroneous surface plots and you can t go without OpenGL and flat lighting.-This submission contains a function that computes face normal data for the VertexNormals property of the surface that fixes the lighting (facenorm.m) as well as a workaround function that you can just use in place of surf (surfo.m).
Only use this if you get erroneous surface plots and you can t go without OpenGL and flat lighting.
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Size: 3072 |
Author: ragada |
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Description: Sift Surf example Sift Surf example
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Size: 2859008 |
Author: Mike |
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Description: surf descriptor for object recognition
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Size: 119808 |
Author: xin |
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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: surf特征提取算法,较sift优良,包括示例和实验图片,还有算法原文-surf feature extraction algorithms, the more sift fine, including examples and experimental images, as well as the original algorithm
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Size: 1132544 |
Author: 猪哥不亮 |
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Description: 图像特征提取以及匹配,sift代码。可用于图片检索中,同比SURF,其算法可以较好的识别图像中文字-Image feature extraction and matching, sift the code. Can be used for image retrieval, up by SURF, the algorithm can better identify the image text
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Size: 25486336 |
Author: sandy |
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Description: A documento about the surf algoritm. In this document there are some method to use surf.
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Size: 8808448 |
Author: Flavio |
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Description: 本文介绍了SIFT,SURF,PCA-SIFT的各自特点,阐述了各自适用的不同的场景。对图像识别和视频识别有很大的启迪作用。-This article describes the SIFT, SURF, PCA-SIFT to their own characteristics to explain their application of the different scenarios. Image recognition and video recognition a great inspiration.
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Size: 2844672 |
Author: liuweimin |
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Description: surf origine programe, it is faster than sift and pca-sift. it is easy to read. wish help you.
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Size: 4262912 |
Author: luo juan |
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