Showing the use of RANSAC (RANdom SAmple Consensus) for robust model fitting. Working on the simple case of 2D line estimation.
Given a collection of images with known camera parameters, multi-view stereo (MVS) describes the task of reconstructing the dense geometry of the observed scene. Trying to solve the multi-view stereo problem with deep learning. First, we estimate the depth maps for each view of the scene. Then we reconstruct a point cloud with all the depth maps and the filtering techniques.
To install and activate the environment, run:
conda env create -f env.yaml
conda activate cv-mvs
pip install plyfile open3d
