mlsanityData to 7 Oct 2026

3D Face Reconstruction for Forensic Recognition -- A Survey

arXiv 2303.11164 ↗First posted 3 Feb 2023cs.CV cs.AI eess.IVcited by 4

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Abstract (arXiv)

3D face reconstruction algorithms from images and videos are applied to many fields, from plastic surgery to the entertainment sector, thanks to their advantageous features. However, when looking at forensic applications, 3D face reconstruction must observe strict requirements that still make unclear its possible role in bringing evidence to a lawsuit. Shedding some light on this matter is the goal of the present survey, where we start by clarifying the relation between forensic applications and biometrics. To our knowledge, no previous work adopted this relation to make the point on the state of the art. Therefore, we analyzed the achievements of 3D face reconstruction algorithms from surveillance videos and mugshot images and discussed the current obstacles that separate 3D face reconstruction from an active role in forensic applications.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 84 references that are in the map. First posted on arXiv 3 Feb 2023.

Builds on

9 of 84 references.

References · 9

  1. 2019Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Setcited by 481
  2. 20193D Morphable Face Models -- Past, Present and Futurecited by 269
  3. 2021Biometrics: Trust, but Verifycited by 39
  4. 2020Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Imagescited by 37
  5. 2014Effective Face Frontalization in Unconstrained Imagescited by 34
  6. 2018Towards Interpretable Face Recognitioncited by 30
  7. 2018Disentangling Features in 3D Face Shapes for Joint Face Reconstruction and Recognitioncited by 27
  8. 2020Survey on 3D face reconstruction from uncalibrated imagescited by 24
  9. 2018Face Recognition in Low Quality Images: A Surveycited by 18

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Citing papers per year: 2023: 2; 2024: 1; 2025: 1.

4 papers.