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BOVW

A MATALB script for extracting Bag-Of-Visual-Word features.

Install / Use

/learn @bruincui/BOVW
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

BOVW

A MATALB script for extracting Bag-Of-Visual-Word features.

We generate root sift descriptors [1] for each image using Andrea Vedaldi's codes [2], and implement our own kmeans algorithm for saving memory.

Just put all images into the ./images/ directory, and then run main.m.The resulting BOVW features and word dictionary are saved in ./data/global/, and the root sift descriptor for each image is in ./data/local/.

References:
[1] Three things everyone should know to improve object retrieval
[2] http://www.robots.ox.ac.uk/~vedaldi/code/sift.html

Created by Chaoran Cui (bruincui@gmail.com)
homepage: http://crcui.sdufe.edu.cn/
If there are any problems, please let me know.

View on GitHub
GitHub Stars11
CategoryDevelopment
Updated2y ago
Forks2

Languages

Matlab

Security Score

60/100

Audited on Mar 30, 2024

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