IQR-T

Irregular Quadrilateral Region Tracking using ARIMA for Dynamic Projection Mapping

Requirements

• python == 3.8.12
• numpy ==
• opencv-python ==

Recommend to used python virtual environment like anaconda.

pip install -r requirements.txt

(recommended)
conda install conda.yml

Usage

python.exe main.py 

• --cont_prefix : path with prefix of content images
• --calibration_config : path of the file containing the camera-projector calibration parameters

(if you want to see more information about obtaining camera-calibration parameters, click here )

• --track_mode : mode about region tracking as shown in the following table.

track_mode	Method	E
0 (default)	AutoRegression

(Optional Flags)

• --explain :

Exhibition Installation Guide

A. Prepare the RGBD Camera and Projector

You can use the any RGBD camera that can export the depth map, but in this project, we used MS Azure Kinect. Similarly, you can use the any projector that is suppported the 1280 × 720 resolution image.

B. Fix the Camera and Projector Phsically and Organize Exhibition for Dynamic Projection Mapping

C. Obtain RGBD Camera-Projector Calibration Parameters

In this process, camera-view and projector-view are corresponed with same scale and ratio. You can use our auto calibration program here. (Note that, this process do not include camera calibration that is obtain the camera intrinsic parameters about lense distortion correction.)

D. Run main.py for Dynamic Projection Mapping

You can choose some mode with flags like here.