pixel-perfect-sfm
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sfm from street images
Hello. I am working on a project to create 3D models of cities using images from 360-degree street view cameras. Specifically, I am using images from Mapillary and processing them with Structure from Motion (SFM) to create 3D models. Currently, I am using COLMAP, but I am struggling with low accuracy in image matching, which hinders the 3D modeling process. Therefore, I am considering trying out another repository I found. I am inputting images extracted from 360-degree cameras into the SFM process. I am aware that this method has several challenges, such as variations in camera parameters, but I would appreciate any advice. Below is a sample video of the project. https://youtu.be/GT1QKPekoRA?si=3u3zswA2gsau1UWE
Additionally, my dataset includes GPS data. When optimizing the data from this repository combined with the GPS data, what kind of files would be helpful for reference?