文件名称:LDFV
- 所属分类：
- 控制台(字符窗口)编程
- 资源属性：
- [C/C++] [源码]
- 上传时间：
- 2016-08-09
- 文件大小：
- 26.47mb
- 下载次数：
- 0次
- 提 供 者：
- 周**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
VLAD VLAD可以理解为是BOF和fisher vector的折中
BOF是把特征点做kmeans聚类，然后用离特征点最近的一个聚类中心去代替该特征点，损失较多信息；
Fisher vector是对特征点用GMM建模，GMM实际上也是一种聚类，只不过它是考虑了特征点到每个聚类中心的距离，也就是用所有聚类中心的线性组合去表示该特征点，在GMM建模的过程中也有损失信息；
VLAD像BOF那样，只考虑离特征点最近的聚类中心，VLAD保存了每个特征点到离它最近的聚类中心的距离；
该代码主要应用在视频处理中对于提取特征使用VLAd编码。
-VLAD VLAD can be understood as a compromise BOF BOF and fisher vector is to do kmeans feature point cluster, and then a feature point nearest cluster center to replace the feature point, the loss of more information Fisher vector is the feature point modeling with GMM, GMM actually a cluster, but it is considered a feature point to the distance to each cluster center, which is a linear combination of all the cluster center to represent the feature point in the GMM process modeling is also a loss of information VLAD like BOF, as only consider feature points the nearest cluster center, VLAD stored for each feature point to the nearest cluster center distance the code is mainly used in video processing for use in extracting features VLAd encoding.
BOF是把特征点做kmeans聚类，然后用离特征点最近的一个聚类中心去代替该特征点，损失较多信息；
Fisher vector是对特征点用GMM建模，GMM实际上也是一种聚类，只不过它是考虑了特征点到每个聚类中心的距离，也就是用所有聚类中心的线性组合去表示该特征点，在GMM建模的过程中也有损失信息；
VLAD像BOF那样，只考虑离特征点最近的聚类中心，VLAD保存了每个特征点到离它最近的聚类中心的距离；
该代码主要应用在视频处理中对于提取特征使用VLAd编码。
-VLAD VLAD can be understood as a compromise BOF BOF and fisher vector is to do kmeans feature point cluster, and then a feature point nearest cluster center to replace the feature point, the loss of more information Fisher vector is the feature point modeling with GMM, GMM actually a cluster, but it is considered a feature point to the distance to each cluster center, which is a linear combination of all the cluster center to represent the feature point in the GMM process modeling is also a loss of information VLAD like BOF, as only consider feature points the nearest cluster center, VLAD stored for each feature point to the nearest cluster center distance the code is mainly used in video processing for use in extracting features VLAd encoding.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
LDFV\LDFV\config.xml
....\....\gmm_parameters.xml
....\....\k-means.cpp
....\....\k-means.h
....\....\LDFV.cpp
....\....\LDFV.h
....\....\LDFV.vcxproj
....\....\LDFV.vcxproj.filters
....\....\LDFV.vcxproj.user
....\....\main.cpp
....\....\out.txt
....\....\QUE\fisher-000.xml
....\....\...\fisher-001.xml
....\....\...\fisher-002.xml
....\....\...\fisher-003.xml
....\....\...\fisher-004.xml
....\....\...\fisher-005.xml
....\....\...\fisher-006.xml
....\....\...\fisher-007.xml
....\....\...\fisher-008.xml
....\....\...\fisher-009.xml
....\....\...\fisher-010.xml
....\....\...\fisher-011.xml
....\....\...\fisher-012.xml
....\....\...\fisher-013.xml
....\....\...\fisher-014.xml
....\....\...\fisher-015.xml
....\....\...\fisher-016.xml
....\....\...\fisher-017.xml
....\....\...\fisher-018.xml
....\....\...\fisher-019.xml
....\....\...\queryImgs\000.bmp
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