I am working on image registration between infrared (LWIR) and visual images using FLIR dataset.
RGB LWIR
Scaling was a global transformation problem, which I resolved lucky. However, the translation varies with different image pairs (visual and IR) due to different FoV of visual sensors.
I have tried area based (intensity) image registration which works well with half of the images only. I have also tried few feature based image registration techniques, but results were worse due to heterogeneity of visual sensors data (images).
Currently, I am trying to use Canny or Sobel edge detector to map the edges into matching points to perform control point registration, but I am still far to get good results.
Is there any feasible solution to resolve this translation problem?
Any suggestion/help will be highly appreciated.
Thanks
