Analysing the quality of PlaneRCNN plane parameters using a structure from motion system
This report aims to compare the plane parameters given by the PlaneRCNN network with those created by using a Structure from Motion (SfM) solution on the same data. Several datasets are used, and the results from PlaneRCNN are evaluated by using the camera matrices from the SfM solution and applying these along with scaling and coordinate transformations. We use and explain RANSAC, neural networks
