Closed hbell99 closed 2 years ago
Hi,
It's an approximation. It's true that points on the ray will have different normals. But during training, the model will converge so the sampled points will be very close to the real surface.
Hi,
It's an approximation. It's true that points on the ray will have different normals. But during training, the model will converge so the sampled points will be very close to the real surface.
Many thanks to your reply!
I can see what it means now.
Hi,
Before all, thank you for your inspiring work!
I would like to ask some questions about the \hat{N}(r) computed in equation (10).
If I understand it correctly, the direction of the normal vector calculated at the sampling points \hat{n}_r^i on each ray might be different. Then why does the volume rendering formula used to calculate \hat{N}(r) can represent the surface intersecting the current ray?
Thank you for your time!