AIM: 2D to 3D reconstruction of telecommunication tower.
A completely integration of 3D reconstruction software:
We implemented SFM using MATLAB. For feature detection SURF was used.
Get feature points, we used Lowe's program but failed to generate feasible solution with complex background and blur. Trying alternatives now:
SIFT
git submodule
SURF
Minimum Eigenvalue Algorithm
BRISK
We implemented a Unet model to segment out tower from images with complex background.
Image Augmentation
130 masks were manually created and augmented. Images were rotated flipped and blurred to increase dataset size.
Unet model
Total images: 4000
Total masks (labels): 4000
Training loss: 0.2660
Training accuracy: 88.44%
Validation loss: 0.2744
Validation accuracy: 87.84%
Test accuracy: 87.93%