# Structure-from-Motion-and-3D-reconstruction

**Repository Path**: little_squirrel/Structure-from-Motion-and-3D-reconstruction

## Basic Information

- **Project Name**: Structure-from-Motion-and-3D-reconstruction
- **Description**: Reconstruction of stereo images to 3D models using OpenCV and Python
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-04-05
- **Last Updated**: 2020-12-16

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Structure-from-Motion-and-3D-reconstruction
Reconstruction of stereo images to 3D models using OpenCV and Python

Steps for doing 3D reconstruction
- Camera calibration
- Undistort images
- Feature matching
- Reproject points and build point clouds

Use the chessboard images to calibrate your camera using calibration.py which generates the extrinsic parameters of a camera (like focal length, rotational and transational vectors, camera matrix) and saves it as a Numpy file. 
Reconstruct.py fetches these camera parameters and uses Semi-global Block Matching (SGBM) algorithm to do 3D reconstruction.