README.md

3-D VISION FINAL PROJECT

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

Aruco Create Board

Argument Marker Detection

Calibration Camera

Argument Reality 2D Camera

Requirements

1. Windows 10 64 Bits
2. Visual Sutdio 2015
3. OpenCV 3.3 with built-in modules: Aruco, OpenGL Support, xfeature2d, feature2d, calib3d, viz
4. VTK 8.0
5. MFC

Project Layout

Main:

1. CalibrateCamera: Using exporting calibration camera parameters
2. DetectChessboard: Checking dection chess board
3. Vision3D (GUI): Main Application

Examples: References from OpenCV witj Aruco, Calib3D Modules, and OpenCV3 Cookbook for Camera Pose, Matching Camera

1. ArucoCalibrateCamera
2. ArucoCreateBoard
3. ArucoCreateMarker
4. ArucoDetectBoard
5. ArucoDetectMarkers
6. CameraPose
7. MatchingCamera

Others: Testing projects

1. CamCalibEx
2. Vision3DPrj

How to run source code

*Project has already pre-configure with .dll in libraries.

1. Download project from github
2. Run *.bat in install directories

How to build source code

*Project has already pre-configure with .dll in libraries.

1. Download project from github
2. Open Visual Sutdio 2015
3. Build every project in solution
4. Modify libraries in properti sheet of every project (project includes necessary libraries and headers)

References

[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.

Personal information

Do Nhu Tai
Supervisor: Professor Kim Soo-Hyung
Pattern Recognition Lab
Chonnam National University, Korea
E-mail: donhutai@gmail.com