MoonMetaSync

Overview

MoonMetaSync is a Python package that introduces IntFeat, an innovative image registration method specifically designed for lunar surface analysis. The framework combines high-level features from SIFT and low-level features from ORB into a unified vector space, enabling precise registration between any two images.

This project addresses the challenges of lunar image registration by providing a robust solution that works effectively with varying image qualities and conditions.

Technologies Used

Features & Functionality

• Hybrid feature extraction combining SIFT and ORB
• Robust image registration for lunar surface analysis
• High-precision alignment capabilities
• Comprehensive evaluation metrics

Challenges & Learnings

The main challenge was developing an effective method to combine different types of features while maintaining computational efficiency. This required careful optimization of the feature extraction and matching algorithms.

The project significantly enhanced my understanding of computer vision algorithms and feature matching techniques, particularly in the context of space imagery analysis.