This project was carried by Group 2 while studying Computer Vision course at VNUHCM-University of Science. This includes 3 interest point detection methods: Harrist, Blob and DOG built using algorithms. The report contains the results of methods and comparisons.
This project is carried out by:
Download OpenCV
- Download the latest version from here (https://opencv.org/)
Unzip
- Click the installation file to decompress
Set the environment variable
- Right click on the ”Computer” icon, select ”Properties”
- Select ”Advanced System Setting”
- In the ”System Properties” dialog, select the ”Advance” tab, click on the ”Environment Variables” button
- In the ”System Variables” dialog, select ”New” and fill the ”Variable name” box and the ”Variable value” box as below figure
- Restart your computer to update the environment variable
Project configuration
- Start Visual Studio, select project type ”Visual C++ Console Application”
- Right click on project, choose ”Properties”
- Note the configuartion (Debug or Release) and the platform (x64 or Win32)
- Add ”Include Directories”
- Add ”Library Directories” (above figure)
- Add lib file
- Build project to create exe file
- Open Command Prompt or Windows PowerShell and enter command:
path/to/executable/file/<exeFile>.exe path/to/input/file/<imageFile>.jpg <taskArgument> [<value>]In there:
- value if any
The repository contains 2 main folders: Document, Source.
- Simple software for learning purposes
- Not for any business reason