BoomStarcuc/3DSfMFaceReconstruction
Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment.
This tool helps researchers and designers reconstruct 3D models of faces from standard 2D images. It takes a single or multiple facial images as input and generates a detailed 3D face model, represented as a point cloud (.ply file). This is valuable for anyone needing to analyze or utilize 3D facial geometry from existing photographs.
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Use this if you need to create 3D facial models for research, animation, or digital archiving from 2D images without specialized 3D scanning equipment.
Not ideal if you need real-time 3D face tracking or reconstruction from video streams, or if extremely high-fidelity, sub-millimeter accuracy for medical applications is required.
Stars
63
Forks
10
Language
Python
License
MIT
Category
Last pushed
Aug 25, 2021
Commits (30d)
0
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