A fundamental set of equations, used in photogrammetry, to relate coordinates in a 2D sensor plane to 3D object coordinates.
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Updated
Nov 20, 2023 - Jupyter Notebook
A fundamental set of equations, used in photogrammetry, to relate coordinates in a 2D sensor plane to 3D object coordinates.
Implementation of Classical Structure from Motion pipeline
Structure from Motion modules for UIPF
SIFT Module for UIPF SfM
An implementation from scratch of the structure from motion pipeline for 3D reconstruction.
Towards an efficient 3D model estimation methodology for aerial and ground images
Experimental code for 3D reconstruction from multiple images
Visual Odometry (Part of ENPM673 - Perception for Autonomous Robots)
Utils for translating photogrammetry reconstructions into Recolude recordings
Study of Visual Odometry and Structure from Motion (SFM) problem
Old Motion R-CNN codebase
[SCIA 2023] Pose Constraints for Self-supervised Monocular Depth and Ego-Motion
Photogrammetric 3D Reconstruction Framework
Website for our 3DV 2021 paper "Self-Supervised Monocular Scene Decomposition and Depth Estimation".
The project involves projective geometry, geometric transformations, modelling of cameras, feature extraction, stereo vision, recognition and deep learning, 3d-modelling, geometry of surfaces and their silhouettes, tracking, and visualisation.
Structure from Motion - Digital Image Processing course final project
3D scene reconstruction and camera pose estimation from custom dataset images
Implement the SfM pipeline using fundamental matrix, PnP, and Bundle Adjustment for pose estimation and 3D reconstruction of a 3D scene (WPI Unity Hall for this project)
Habitat structural complexity of a biogenic reef in Ellis Fjord, Antarctica
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