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Curiosity Lab

RESOURCES
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dualfisheye-to-affectiva
This code was written in order to recognize multiple faces expressions with 360 dualfisheye cameras. I used theta S camera - capturing 360 dualfisheye images with 15 fps.
I used ffmpeg to convert dualfisheye image to rectangular image. the mapping file was created by "projection.c" program which creates the files "fisheye_grid_ymap.pgm" and "fisheye_grid_xmap.pgm" you can find the program at the link:https://github.com/raboof/dualfisheye2equirectangular you can create a mapping file for several cameras and resolutions.
in order to analayze expressions you need to get the affectiva ros node https://www.affectiva.com/
face detection algorithem was taken from https://realpython.com/face-recognition-with-python/
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