Some papers use image segmentation techniques and others use edge detection. I need to know which one is faster.
I need to do semantic segmentation for outdoor sense and the data is optical image and LiDAR. Other researchers use segmentation before doing feature detection but I expect that if I use line/edge detection, the technique will detect image features faster.
Before I start doing experiments I want to know which one is better because this will effect on next step, i.e. feature detect.
This application should work in real-time and I plan to use GPU for faster processing, such as CUDA.