3D Face Reconstruction for Forensic Recognition -- A Survey
원문 초록
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.
함께 살펴볼 논문
공통 태그를 근거로 연결했습니다. 실제 인용 관계나 논문의 우수성을 뜻하지 않습니다.
3D Face Reconstruction Error Decomposed: A Modular Benchmark for Fair and Fast Method Evaluation
Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
A Survey on Prompt Tuning
A Survey on Latent Reasoning
A Survey on Vision-Language-Action Models for Autonomous Driving
Enhancing Homophily-Heterophily Separation: Relation-Aware Learning in Heterogeneous Graphs
토론
이 논문과 연결된 포럼 글이 아직 없습니다.