Hi TheHiddenWaffle ,
The neural inference fused with depth map
would be faster, as the main bottleneck would be the AI performance.
In case of stereo neural inference, you are running the same AI model twice (for left and right image), then doing triangulation to get 3D point.
In case of neural inference fused with depth map, you are running AI model once, then mapping the AI results to stereo depth image to get 3D point.
Thoughts?
Thanks, Erik