mlsanityData to 7 Oct 2026

Fitting a 3D Morphable Model to Edges: A Comparison Between Hard and Soft Correspondences

arXiv 1602.01125 ↗First posted 2 Feb 2016cs.CVcited by 17

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Abstract (arXiv)

We propose a fully automatic method for fitting a 3D morphable model to single face images in arbitrary pose and lighting. Our approach relies on geometric features (edges and landmarks) and, inspired by the iterated closest point algorithm, is based on computing hard correspondences between model vertices and edge pixels. We demonstrate that this is superior to previous work that uses soft correspondences to form an edge-derived cost surface that is minimised by nonlinear optimisation.

Key facts. Cited by 17 papers in the map (data through 7 Oct 2026). First posted on arXiv 2 Feb 2016.

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Citing papers per year: 2021: 5; 2022: 4; 2023: 3; 2024: 2; 2025: 2; 2026: 1.

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