A new approach to photography forensics using 3D analysis for correcting perception errors: A case study

Hyoung Joong Kim, Soomin Lim, Boram Kim, Eui S. Jung

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

This paper introduces a new approach to photography forensic field. This approach is on a referenced 3D photography forensic study. Two photos were taken by Alice and Bob which are controversially analyzed based on claims from different sides. With using Google map and two photos, we generate a 3D model and simulate whose claim is more to the truth. Throughout the simulations, one perceptual error committed by Alice has been corrected. At the same time, the claim that Alice has made is not possible to be true. Moreover, this paper covers the fact that optical aberration would be the reason of abnormal effects on the photos which is possible to become a mistake to the normal for the abnormal. As a conclusion, this paper presents a systematic approach to fight legally against various perceptual errors occurred in analyzing photos and to use as forensic evidence.

Original languageEnglish
Title of host publicationSMVC'10 - Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning, Co-located with ACM Multimedia 2010
Pages27-30
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 ACM Workshop on Surreal Media and Virtual Cloning, SMVC'10, Co-located with ACM Multimedia 2010 - Firenze, Italy
Duration: 2010 Oct 292010 Oct 29

Publication series

NameSMVC'10 - Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning, Co-located with ACM Multimedia 2010

Other

Other2010 ACM Workshop on Surreal Media and Virtual Cloning, SMVC'10, Co-located with ACM Multimedia 2010
Country/TerritoryItaly
CityFirenze
Period10/10/2910/10/29

Keywords

  • 3D digital image forensics
  • Forgery detection
  • Image analysis
  • Legal position
  • Optical aberration
  • Perceptual error
  • Security
  • Simulation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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