3D Face Reconstruction: the Road to Forensics
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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 its possible role in bringing evidence to a lawsuit unclear. An extensive investigation of the constraints, potential, and limits of its application in forensics is still missing. Shedding some light on this matter is the goal of the present survey, which starts by clarifying the relation between forensic applications and biometrics, with a focus on face recognition. Therefore, it provides an analysis of the achievements of 3D face reconstruction algorithms from surveillance videos and mugshot images and discusses the current obstacles that separate 3D face reconstruction from an active role in forensic applications. Finally, it examines the underlying data sets, with their advantages and limitations, while proposing alternatives that could substitute or complement them.
Key facts. Cited by 7 papers in the map (data through 14 Oct 2026). Builds on 28 of its 240 references that are in the map. First posted on arXiv 20 Sep 2023.
Builds on
28 of 240 references.
References · 28
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16 more
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Built on by
Citing papers per year: 2024: 3; 2025: 4.
7 papers.
- 2024Deepfake Media Forensics: State of the Art and Challenges Aheadcited by 7
- 2025Exploiting Multiple Representations: 3D Face Biometrics Fusion with Application to Surveillancecited by 4
- 2024Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillancecited by 3
- 2024Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detectorcited by 2
- 2025Fragile Watermarking for Image Certification Using Deep Steganographic Embeddingcited by 2
- 2025Deep Data Hiding for ICAO-Compliant Face Images: A Surveycited by 1
- 2025Deceptive Beauty: Evaluating the Impact of Beauty Filters on Deepfake and Morphing Attack Detectioncited by 0
- 2025Deceptive Beauty: Evaluating the Impact of Beauty Filters on Deepfake and Morphing Attack Detection17 Sep 2025
- 2025Deep Data Hiding for ICAO-Compliant Face Images: A Survey26 Aug 2025
- 2025Exploiting Multiple Representations: 3D Face Biometrics Fusion with Application to Surveillance26 Apr 2025
- 2025Fragile Watermarking for Image Certification Using Deep Steganographic Embedding18 Apr 2025
- 2024Exploring 3D Face Reconstruction and Fusion Methods for Face Verification: A Case-Study in Video Surveillance16 Sep 2024
- 2024Tex-ViT: A Generalizable, Robust, Texture-based dual-branch cross-attention deepfake detector29 Aug 2024
- 2024Deepfake Media Forensics: State of the Art and Challenges Ahead1 Aug 2024