Stitch images generated by dual-fisheye cameras. Model supported: Samsung Gear360 C200.
The code is built in Ubuntu 18.04 LTS (should work fine under Ubuntu 16.04 LTS as well).
- OpenCV 3.4.2 (with calib3d).
- ffmpeg (
sudo apt-get install ffmpeg). - cmake.
-
Clone the repo and go to the cloned repo.
-
Build the code
cmake .
make
- Run the code with provided sample images
./RUN_fisheye.sh
Please be informed that the code doesn't include the temporal coherence control, but one can implement it using the description in [1].
It takes around 70ms-90ms* to stitch one 3840x1920 image (02 x fisheye images captured by Samsung Gear 360 C200) on a laptop with an Intel i7-8750H CPU + 32GB Memory. See clip. (*) recorded when CPU performance is set to 75% to keep laptop cool.
If you find our code useful, please consider citing our following papers:
[1] T. Ho, I. D. Schizas, K. R. Rao and M. Budagavi, "360-degree video stitching for dual-fisheye lens cameras based on rigid moving least squares," 2017 IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept. 2017, pp. 51-55.
[2] T. Ho and M. Budagavi, "Dual-fisheye lens stitching for 360-degree imaging," 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), New Orleans, LA, Mar. 2017, pp. 2172-2176.