PIFR: Pose Invariant 3D Face Reconstruction

Kateryna Koidan
Dec 25, 2018 · 5 min read

Related Work

State-of-the-art idea

Overview of the Pose-Invariant 3D Face Reconstruction (PIFR) method

Model details

Top row: the original image and landmark. Bottom row: 3D face model and its alignment to the 2D image

Performance Comparison with Other Methods

Comparisons of cumulative errors distribution (CED) curves on AFW and LFPW datasets
Comparison of 3D face reconstruction: (a) Input image; (b) FW-3DMM; © E-3DMM; (d) Suggested approach
Top row: Input 2D image. Middle row: 3D face. Bottom row: Align to a 2D image.

Bottom Line

Neurohive - CV papers

Machine Learning and Neural Networks