Traditional photogrammetry techniques often struggle to reconstruct 3D shapes of objects with textureless or reflective surfaces.
To overcome the difficulty in reconstructing 3D shapes of objects with textureless or reflective surfaces, RECON Labs has developed MetaRECON.
This 3D reconstruction engine combines traditional photogrammetry with AI-based technologies to produce high-quality surface reconstructions.
Using Agisoft Metashape's cloud-based camera pose calculation process, we efficiently align images. MetaRECON is designed for training the volume field through NeRF and also enhances the detail and stability of the resulting 3D mesh by refining the NeRF training results into an SDF function.
As a result, MetaRECON can create more accurate and stable reconstructions than other solutions, even for the most complex surfaces.