Camera Calibration Using Standard Genetic Algorithm

Resource Overview

Camera calibration program based on standard genetic algorithm implementation with comprehensive README documentation

Detailed Documentation

This is a camera calibration program developed using a standard genetic algorithm approach, designed to provide an efficient and accessible solution. The package includes detailed README documentation to facilitate better understanding and utilization. Our calibration system implements an advanced genetic algorithm that optimizes camera parameters through selection, crossover, and mutation operations to ensure precision and accuracy. The algorithm works by iteratively evolving a population of potential parameter solutions, evaluating their fitness based on reprojection error minimization. We've prioritized user-friendliness in the implementation, making the program straightforward to operate and comprehend through clear function interfaces and parameter configuration files. Key functions include population initialization, fitness evaluation using camera projection models, and genetic operator implementations for parameter optimization. By utilizing this calibration tool, you can achieve enhanced image quality and measurement accuracy in various camera applications. Whether you're a photography enthusiast or a professional in computer vision, this calibration program offers valuable assistance and convenience for your imaging projects.