Skip to content

Latest commit

 

History

History
14 lines (9 loc) · 889 Bytes

README.md

File metadata and controls

14 lines (9 loc) · 889 Bytes

3D_DataPoint_Reconstruction

This repository contains Python implementations for camera calibration, essential matrix estimation, and 3D point cloud generation using the 8-point algorithm. The primary focus of this project is to gain an understanding of 3D computer vision techniques.

File Structure

The repository contains the following files:

  1. return_intrinsic_parameters.py: Prints a checkerboard image, calibrates the camera, and displays the camera intrinsic parameters.
  2. return_rotation_translation_matrix.py: Estimates the essential matrix using the 8-point algorithm and recovers the rotation and translation matrices.
  3. recontruct_3d_point.pyy: Finds the 3D locations of points and displays the 3D point cloud.

Results

image