Description: Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07-Implementation of the Self Similarity descriptor based on the paper:
Matching Local Self-Similarities across Images and Videos, Eli Shechtman and Michal Irani
CVPR 07 Platform: |
Size: 276480 |
Author:qinlei |
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Description: 这是一个MATLAB代码实现的计算一对用双目立体视觉获得的一对图像对，然后用最新的Daisy算法计算每一个点的局部特征描述子，并且来实现立体匹配的功能。-This is a MATLAB code for computing a pair of stereo vision with a pair of images were obtained, and then Daisy algorithm with the latest point of the local characteristics of each descriptor, and to achieve the stereo matching function. Platform: |
Size: 183296 |
Author:peter |
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Description: 一种基于细节点局部描述子的指纹图像匹配方法A local descriptor based on minutiae matching method for fingerprint image-A local descriptor based on minutiae matching method for fingerprint image Platform: |
Size: 276480 |
Author:boyc121 |
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Description: We show that i s possible to estimate depth from two wide baseline images using a dense descriptor. Our local descriptor, called DAISY, is very fast and efficient to compute. It depends on histograms of gradients like SIFT and GLOH but uses a Gaussian weighting and circula-We show that it is possible to estimate depth from two wide baseline images using a dense descriptor. Our local descriptor, called DAISY, is very fast and efficient to compute. It depends on histograms of gradients like SIFT and GLOH but uses a Gaussian weighting and circula Platform: |
Size: 8152064 |
Author:na |
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Description: 本代码用来计算一种局部描述子ASIFT，ASIFT是SIFT的改进。相比于SIFT，ASIFT具有更好的仿射不变性，但计算复杂度也更高。-ASIFT（affine sift）is a kind of local descriptor, which has a better affine invariant property. But the computation complexity of ASIFT is higher than SIFT. Platform: |
Size: 782336 |
Author:朱小小 |
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Description: SIFT图像特征提取的图像预处理步骤：构建图像构建高斯金字塔，相邻层相减得到DOG金字塔，在DOG金字塔3x3x3的邻域内寻找局部极值点，供进一步计算SIFT特征描述子使用。工程运行于VS2008环境，需要OpenCV支持。Debug目下exe文件可以直接双击运行查看结果。-SIFT image feature extraction image preprocessing steps: build image Gaussian pyramid, subtracting the adjacent layer get to DOG pyramid, in the DOG pyramid 3x3x3 neighborhood of finding local extreme point for further calculations using the SIFT feature descriptor. This project runs under VS2008 with OpenCV. Double click the exe file under Debug folder to check the final result. Platform: |
Size: 2867200 |
Author: |
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Description: 论文，摄像机之间基于区域SIFT描述子的目标匹配，可以参考。-Thesis，the title is "objective matching based on local SIFT descriptor between different camera" Platform: |
Size: 994304 |
Author:蓝天 |
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Description: sift算子 图像局部特征描述子 可用于图像匹配-sift operator image local feature descriptor can be used for image matching Platform: |
Size: 376832 |
Author:江淘 |
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Description: 基于纹理和边缘方向特征融合的目标跟踪程序代码，是基于mean shift框架的-This paper proposes a powerful and robust local descriptor,called textureorientation
descriptor(TOD). TOD consists of two components: texture and
orientation. Considering that the human shape shows more short, fragmentary
and vertical edges, the proposed TOD descriptor encodes the spatial information
of pedestrian image. We combine the proposed TOD representation
model with mean shift framework to perform pedestrian tracking. Results
from experiments show the improved performance of the proposed algorithm,
in the scenarios of heavy occlusions, illumination variations and similar
objects interference, when compared with the other descriptors based trackers. Platform: |
Size: 5120 |
Author:邹温林 |
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