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Description: 基于surf的图像特征的提取，采集，配准已经图像融合拼接技术的研究-Image feature extraction surf-based acquisition, registration has been studied image fusion splicing technology
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Size: 7061504 |
Author: heyanyan |
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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: 这是运用surf算法来进行的多运动目标的跟踪，还有一些文档说明资料。-It is the use of tracking algorithm to surf multiple moving targets, and some documentation available.
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Size: 4544512 |
Author: DHH |
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Description: SURF Descriptor Algorithm
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Size: 2223104 |
Author: amyamou |
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Description: 运用matlabr2012a,实现SURF算法的图像特征提取和匹配。-Use matlabr2012a, SURF algorithm for image feature extraction and matching.
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Size: 5002240 |
Author: 李鹄 |
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Description: 利用SURF算法，对人脸提取特征点。经作者检验，识别率可以在80 以上。- Extract face feature points using of SURF algorithm. With the inspection, the recognition rate can be above 80 .
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Size: 2304000 |
Author: 屠震元 |
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Description: Harris，SURF特征点提取匹配算法，两种算法实例比较-Harris, SURF feature point extraction matching algorithm compares two algorithms examples
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Size: 495616 |
Author: 李琳 |
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Description: SURF是SIFT算法的改进算，速度快，这里是详解请看。-SURF is improved SIFT algorithm, fast speed, this is, please see.
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Size: 570368 |
Author: 刘杨 |
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Description: SURF matlab代码。 包含例程 和源程序-surf source code. it includes an example of using it
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Size: 1943552 |
Author: 李川 |
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Description: 对两幅图像进行配准，分别提取两幅图像的surf特征点以及描述子，得到粗匹配结果，然后根据粗匹配结果，采用ransac方法计算基础矩阵，并去除误匹配点，得到较准确匹配结果-Two image registration, surf was extracted from the feature points in two images to get the coarse matching and descriptor, then according to the results, the coarse matching results, using RANSAC method to calculate the fundamental matrix, and eliminate the error matching, gain a more accurate matching results
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Size: 108544 |
Author: 王奇 |
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Description: 基于SURF算法的特征提取代码，里面包含一些图像处理算法，opencv2.3.1和vs210-Feature extraction based on SURF algorithm code, containing some image processing algorithms, opencv2.3.1 and vs210
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Size: 21665792 |
Author: cold |
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Description: SURF算法作为一种新近出现的特征提取方法，在重复度、独特性、鲁棒性3个方面，均超越或接近以往提出的同类方法，并在计算效率上具有明显的优势。本代码采用SURF算法检测图像并进行坐标变换与图像拼接。
采用SURF算法对图像进行检测，其主要是用Hessian矩阵对图像进行检测，对图像的特征提取之后找到图像的特征点。之后采用最近临快速匹配（NN）、随机抽样一致性（RANSAC）算法和最小二乘法参数优化（LM）对特征点进行提纯匹配。最后在两幅图像中进行坐标变换，达到统一坐标系和图像拼接的效果。
-SURF（Speeded Up Robust Features） as a method of feature extraction which newly appeared is over or nearly previous method on duplication, uniqueness, and robustness and have a clear advantage on computational efficiency. This code uses the SURF and coordinate transformation algorithm to detect image and image matching.
This code uses the SURF algorithm of image detection, the main is to use the Hessian matrix of image for testing, to find the image after image feature extraction of feature points. After we used Nearest Neighbor (NN), Random Sample Consensus (RANSAC) algorithm and least square parameter optimization for purification of matching feature points. Coordinate transformation in the last two images, to coordinate system to achieve the same image stitching.
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Size: 2070528 |
Author: 马丁 |
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Description: 基礎SURF應用從最簡單的入門找特徵點、到稍微進階的影像比對以及照片合成全景圖的應用-SURF application of basic applications, from the simplest to find entry feature points to a slightly advanced image comparison and synthesis panorama photo
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Size: 25830400 |
Author: 蔡秉嘉 |
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Description: 实现surf算法的matlab代码
实现surf算法的matlab代码-Surf algorithm to achieve the matlab code
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Size: 721920 |
Author: xihua |
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Description: 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 uation set, as well as on imagery obtained in the context of a real-life object recognition application. Both show SURF’s strong performance.
-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 uation 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: 680960 |
Author: Amal |
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Description: Speeded Up Robust Features (SURF) SURF (Speeded Up Robust Features) is a robust local feature detector invariant to scale rotation and illumination similaire to SIFT Scale Invariant Feature Transform
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Size: 788480 |
Author: ghoualmi |
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Description: 本程序通过提取SURF特征，实现同一场景不同视角特征点的匹配-The SURF program by extracting features different perspectives of the same scene to achieve matching feature points
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Size: 2048 |
Author: 云长 |
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Description: SURF匹配的C程序，VS2010运行环境。-SURF matching C program, VS2010 runtime environment.
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Size: 474112 |
Author: 山姆 |
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Description: 对sift算法进行改进的SURF，应用到实际中，速度有很大的改善-Sift algorithm for improved SURF, applied to the practice, the speed has greatly improved
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Size: 1159168 |
Author: liushoubao |
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Description: Module Provides implementation of SURF Points to detect invariant features input image for robust image matching. It takes less time to detect features an image rather than SIFT-Module Provides implementation of SURF Points to detect invariant features input image for robust image matching. It takes less time to detect features an image rather than SIFT
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Size: 49152 |
Author: yuvaraj |
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