3D Model Reconstruction using Photometric Stereo

This project leverages photometric stereo techniques to reconstruct highly accurate 3D models from multiple 2D images, focusing on accurate surface reconstruction, primarily applied in archaeology and geology. It requires a controlled setup with a custom lighting rig in a dark environment to capture consistent lighting variations across the images.

Calibration is achieved through a ball detection system, which enables efficient setup and accurate photometric calibration. This pipeline supports batch processing, allowing for the automated creation of multiple models in a single run, making it suitable for high-throughput applications. Once the 3D models are created, MeshLab is used for mesh refinement and Blender for material rendering, providing high-quality visuals that showcase fine surface details and textures. This approach is ideal for projects requiring precise depth and texture mapping, such as in archaeology or digital archiving of physical artifacts.