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Poster
in
Affinity Workshop: Tiny Papers Poster Session 3

How Many OptiFaces? A New Evaluation Metric For 3D Face Reconstruction

Will Rowan · Patrik Huber · Nick Pears · Andrew Keeling

Halle B #316
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[ OpenReview] 
Wed 8 May 1:45 a.m. PDT — 3:45 a.m. PDT

Abstract:

Three dimensional face reconstruction is a challenging problem, so much so that the mean face is highly competitive with recent learning-based approaches for 3D face reconstruction from 2D images. No other universal baselines for this task exist. We propose a novel baseline that selects a subset of face meshes, called OptiFaces, that minimise overall 3D reconstruction error. This is a universal approach to calculate dataset-specific metrics for 3D face reconstruction, offering intuitive new baselines for the interpretation of 3D reconstruction error.

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