Open lolwarmaze opened 5 months ago
Hi, sorry for late reply. It seems like you just use 2 fixed pose camera to generate point clouds? I think colmap can work if we have more than 10 images with there's poses...
Yes, I am only using a stereo camera setup with two fixed cameras with known poses. However, since I can also obtain depth images from my camera, I am now using depth info to generate an initial point cloud because COLMAP seems to be not working with only two known fixed camera poses setup.
I know I'm a bit late to this, but you could always try generating it with instant splat? I hear its good with sparse image sets.
Hi,
I am trying to train a 4D Gaussian model using my own set of stereo video pairs using dynerf type dataset directory structure. I have two video files (.mp4) from my stereo camera setup and have generated a poses_bounds.npy file with LLFF format because I was unable to generate camera poses for a stereo camera setup using COLMAP. Now I run into a problem when trying to generate the point clouds from my input data. It seems like it is unable to do triangulation as the image sees 0 points:
Did someone experience this issue when trying to work with stereo data ? If someone has any idea about what might be going wrong then please help me with it. Thanks