Focus distance estimation from photographed faces: a test of PerspectiveX using 1709 frontal and profile photographs from DSLR and smartphone cameras

Author:

Healy Sean S.ORCID,Stephan Carl N.ORCID

Abstract

AbstractAs focus distance (FD) sets perspective, it is an important consideration for the forensic analysis of faces in photographs, including those used for craniofacial superimposition. In the craniofacial superimposition domain, the PerspectiveX algorithm has been suggested for FD estimation. This algorithm uses a mean value of palpebral fissure length, as a scale, to estimate the FD. So far, PerspectiveX has not been validated for profile view photographs or for photographs taken with smartphones. This study tests PerspectiveX in both front and profile views, using multiple DSLR cameras, lenses and smartphones. In total, 1709 frontal and 1709 profile photographs of 10 adult participants were tested at 15 ground truth FDs using three DSLR cameras with 12 camera/lens combinations, five smartphone back cameras and four smartphone front cameras. Across all distances, PerspectiveX performed with a mean absolute error (MAE) of 11% and 12% for DSLR photographs in frontal and profile views, respectively, while errors doubled for frontal and profile photographs from smartphones (26% and 27%, respectively). This reverifies FD estimation for frontal DSLR photographs, validates FD estimates from profile view DSLR photographs and shows that FD estimation is currently inaccurate for smartphones. Until such time that FD estimations for facial photographs taken using smartphones improves, DSLR or 35 mm film images should continue to be sought for craniofacial superimpositions.

Funder

The University of Queensland

Publisher

Springer Science and Business Media LLC

Subject

Pathology and Forensic Medicine

Reference64 articles.

1. Rai B, Kaur J (2012) Craniofacial identification. Evidence-based forensic dentistry. Springer, Berlin Heidelberg Berlin, Heidelberg, pp 65–71

2. Roosenboom J, Hens G, Mattern BC, Shriver MD, Claes P (2016) Exploring the underlying genetics of craniofacial morphology through various sources of knowledge. Biomed Res Int 2016:3054578. https://doi.org/10.1155/2016/3054578

3. Mann M, Smith MC (2017) Automated facial recognition technology: recent developments and approaches to oversight. Univ New South Wales Law J 40:121–145

4. Glaister J, Brash JC (1937) Medico-legal aspects of the Ruxton case. William Wood and Co., Baltimore

5. Brown KA (1993) The Truro murders in retrospect: a historical review of the identification of the victims. Ann Acad Med, Singapore 22:103–106

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3