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flyinggh's Projects

sfm icon sfm

Python code to reconstruct a 3D scene and simultaneously obtain the camera poses with respect to the scene(Structure from motion))

sfm-1 icon sfm-1

A library for lightweight SLAM for 3D scanning of small objects from a webcam/mobile phone

sfm-10 icon sfm-10

Structure from Motion using Bundle Adjustment done by hand in python

sfm-12 icon sfm-12

Estimates the position/orientation of a camera given consicutive images and the intrinsic calibration parameters

sfm-16 icon sfm-16

Scale trajectory predicted by SfM Learner (unsupervised depth and ego-motion from monocular video estimator)

sfm-17 icon sfm-17

Structure from motion implementation (3D data processing course - 2nd assignment).

sfm-2 icon sfm-2

3D scene reconstruction and camera pose estimation given images from different views (Structure from Motion)

sfm-3d-vision icon sfm-3d-vision

A differentiable Structure from Motion (SfM) pipeline, implemented in PyTorch, Kornia and Pypose, showcasing efficient feature extraction, matching, triangulation processes, and effective optimization of reprojection error, aimed to advance computer vision research.

sfm-4 icon sfm-4

Structure From Motion methods

sfm-5 icon sfm-5

Incremental Structure-from-Motion pipeline

sfm-6 icon sfm-6

Structure From Motion : A python implementation to reconstruct a 3D scene and obtain camera poses with respect to scene

sfm-7 icon sfm-7

Structure from motion : Point cloud reconstruction from multiple views

sfm-ios icon sfm-ios

This is the code implementation on iOS of a realtime SfM algorithm presented in the master disertation of "An analysis of realtime shape from motion" by Chuanhai Luo.

sfm-nerf icon sfm-nerf

This project aims to apply computer vision techniques to reconstruct 3D scenes and estimate the camera poses using a method called Structure from Motion (SfM). SfM is a technique that utilizes a series of 2D images to reconstruct the 3D structure of a scene and produce point cloud-based 3D models.

sfm-pipeline icon sfm-pipeline

A modified version of the SfM pipeline given in the link. The modifications are for a certain heuristics to reconstruct 3D from ambiguous photos of a scene.

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