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Description: Rob Hess的SIFT算法的C语言实现(基于OpenCV),金字塔采样和高斯差分提取特征点，K-D树寻找同名点，RANSAC去粗差-Rob Hess of the SIFT algorithm C language (based on OpenCV), sampling and Gaussian pyramid differential extraction of feature points, KD tree search for points of the same name, RANSAC to gross errors
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Size: 448512 |
Author: lonfan |
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Description: Rob Hess Linux下的SIFT提取源码，金字塔采样和高斯差分提取特征点，KD树搜索寻找同名点，RANSAC去粗差-Rob Hess Linux source code under the SIFT extraction, sampling and Gaussian pyramid differential extraction of feature points, KD tree search to find the same name, points, RANSAC to gross errors
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Size: 181248 |
Author: lonfan |
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Description: 分析读取Bundler输出的.txt,.key文件，对三维点云sift特征建立KD树索引。-Parsing Bundler Output including .txt& .key Files to construct a KD tree Index.
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Size: 19400704 |
Author: tony |
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Description: 毕业设计，基于内容的图像检索，支持的检索特征包括 sift,颜色直方图，灰度矩阵，HU不变矩，边缘方向直方图，检索方法使用K-means和K-D树两种，需要OPENCV支持，运行时请先选定一个文件夹来生成特征库，特征库用access数据库保存，只支持JPG文件-Graduate design, content-based image retrieval, search features, including support sift, color histogram, gray matrix, HU moment invariants, edge direction histogram, retrieval method using the K-means and KD trees are two kinds of needs OPENCV support Please select a runtime folder to generate the feature library, feature library with access database save, only supports JPG files
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Size: 359424 |
Author: 平天羽 |
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Description: kd树的结构和分析及其源代码的程序使用matlab-kd tree structure and analytical procedures used and its source code matlab
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Size: 6211584 |
Author: luyang |
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Description: SIFT算法的区域匹配，比原有的SIFT+KD树匹配更加高效、准确。-different area SIFT algorithm which is better than the original SIFT and KD tree match.
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Size: 6445056 |
Author: jiba |
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Description: 基于SIFT算法的图像拼接
主要是运用SIFT算法求得特征点，然后用kd_tree进行特征点匹配，根据匹配点求得2x2的变换矩阵，然后利用变换矩阵变换图像（需要插值）。-Image Stitch Based on SIFT
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Size: 31744 |
Author: yyscamper |
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Description: Abstract—Constraining by cameras’ view-angles of the
outdoor monitoring systems, the panoramic digital images
fail to be obtained directly from photographing. A method is
proposed on the basis of the scale invariance feature
transform (i.e. SIFT) algorithm to stitch images captured by
the turning video cameras together to form panoramic
images. Based on the SIFT features and the retrofitted KD-
Tree structure, the BBF searching strategy is employed to
match feature points. Then in a post-processing pass, the
Ransac algorithm is adopted to remove the mismatching
feature points. Photos captured by a surveillance camera are
taken as the input to test the proposed method. According to
the test, the whole processing time of stitch is reduced while
the fidelity of resulting stitched panoramic images is
ensured.-Abstract—Constraining by cameras’ view-angles of the
outdoor monitoring systems, the panoramic digital images
fail to be obtained directly from photographing. A method is
proposed on the basis of the scale invariance feature
transform (i.e. SIFT) algorithm to stitch images captured by
the turning video cameras together to form panoramic
images. Based on the SIFT features and the retrofitted KD-
Tree structure, the BBF searching strategy is employed to
match feature points. Then in a post-processing pass, the
Ransac algorithm is adopted to remove the mismatching
feature points. Photos captured by a surveillance camera are
taken as the input to test the proposed method. According to
the test, the whole processing time of stitch is reduced while
the fidelity of resulting stitched panoramic images is
ensured.
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Size: 345088 |
Author: bou33aza |
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Description: 程序实现了对图像sift特征的提取，并利用KD-树对图像进行相似度匹配。-Program image sift feature extraction and similarity matching KD-tree image.
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Size: 2252800 |
Author: chengbo |
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Description: 用SIFT+kd-tree+RANSAC算法。首先，提取SIFT特征点，再次构建kd-tree寻求与关键点最近的和次近的点，用BBF搜索算法遍历，再由RANSAC求变换矩阵
-Algorithms SIFT+kd-tree+RANSAC. First, the extracted SIFT feature points again to build a KD-Tree to seek the key points and sub-points near BBF search algorithm traversal by RANSAC and transformation matrix
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Size: 9065472 |
Author: 孙洁 |
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Description: SIFT点提取，KD树特征匹配，再用随机抽样一致算法去除无匹配-SIFT extraction, KD tree feature matching, and then remove the non-random sample consensus algorithm matches
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Size: 182272 |
Author: zk |
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Description: SIFT KD树 图像拼接 全景图_多幅图 opencv -SIFT KD tree image mosaic panorama _ Multiple Figure opencv
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Size: 10035200 |
Author: lyj |
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Description: 从K近邻算法、距离度量谈到KD树、SIFT+BBF算法,讲解详细，非常有用-From K neighbor algorithm and distance measurement when it comes to KD tree, SIFT+ BBF algorithm, explain in detail, very useful
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Size: 1599488 |
Author: mumu |
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Description: sift算法寻找特征点，并用KD树法匹配特征点-sift algorithm to find the feature points and match with KD tree method feature points
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Size: 41984 |
Author: 杨过 |
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Description: 包内为探测图像极值，检测SIFT特征和构建K-D树等功能的源码。-
Package for the detection of extreme images, detecting SIFT features and functions to build the source code KD tree.
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Size: 21504 |
Author: 王健 |
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Description: 实现图像的自动配准，是SIFT算法的改进算法，同时在ASIFT匹配阶段，对算法进行了修改，采用KD树结构进行搜索。-Automatic registration of images is SIFT algorithm improved algorithm, while ASIFT matching stage, the algorithm was modified using the KD tree search.
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Size: 758784 |
Author: keil_xin |
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Description: 基于SIFT 的电子稳像技术。用SIFT+KDTREE+RANSCA实现-image stabilization based on sift+kd tree+ransac
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Size: 11839488 |
Author: hanll |
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