Chonnam National University, Gwangju, South Korea
2017 3-D Vision Class
Professor: Chilwoo Lee
Student: Do Nhu Tai
Target: Building a application for argument reality video
- Windows 10 64 Bits
- Visual Sutdio 2015
- OpenCV 3.3 with built-in modules: Aruco, OpenGL Support, xfeature2d, feature2d, calib3d, viz
- VTK 8.0
- MFC
- CalibrateCamera: Using exporting calibration camera parameters
- DetectChessboard: Checking dection chess board
- Vision3D (GUI): Main Application
Examples: References from OpenCV witj Aruco, Calib3D Modules, and OpenCV3 Cookbook for Camera Pose, Matching Camera
- ArucoCalibrateCamera
- ArucoCreateBoard
- ArucoCreateMarker
- ArucoDetectBoard
- ArucoDetectMarkers
- CameraPose
- MatchingCamera
- CamCalibEx
- Vision3DPrj
*Project has already pre-configure with .dll in libraries.
- Download project from github
- Run *.bat in install directories
*Project has already pre-configure with .dll in libraries.
- Download project from github
- Open Visual Sutdio 2015
- Build every project in solution
- Modify libraries in properti sheet of every project (project includes necessary libraries and headers)
[1] Laganière, Robert. "OpenCV 3 Computer Vision Application Programming Cookbook". Packt Publishing Ltd, 2017.
[2] Ma, Y., Soatto, S., Kosecka, J., & Sastry, S. S. (2012). "An invitation to 3-d vision: from images to geometric models". Springer Science & Business Media.
Do Nhu Tai
Supervisor: Professor Kim Soo-Hyung
Pattern Recognition Lab
Chonnam National University, Korea
E-mail: donhutai@gmail.com