Fouche, M. and Olivier, M.S. (2011) Detecting Non-Stereoscopic to Stereoscopic Image Splicing with the Use of Disparity Maps. Proceedings of the South African Institute of Computer Scientists and Information Technologists Conference on Knowledge, Innovation and Leadership in a Diverse, Multidisciplinary Environment, October 2011, 271-274.

has been cited by the following article:

• TITLE: Detection of the Single Image from DIBR Based on 3D Warping Trace and Edge Matching

  AUTHORS: Dae-Jin Jung, Heung-Kyu Lee

  KEYWORDS: 3D; Stereoscopic Image; DIBR; Depth-Image-Based Rendering; Digital Forensics

  JOURNAL NAME: Journal of Computer and Communications, Vol.2 No.4, March 18, 2014

  ABSTRACT: Recently, the popularity of 3D content is on the rise because of its immersive experience to view- ers. While demands for 3D contents and 3D technologies increase, only a few copyright protection methods for 3D contents have been proposed. The simplest infringement is the illegal distribution of the single 2D image from 3D content. The leaked image is still valuable as 2D content and the leakage can be occurred in DIBR system. To detect the leaked image, we focus on the hole-filled region which is caused by the hole-filling procedure mandatory in DIBR system. To estimate the hole-filled regions, two different procedures are conducted to extract edges and to estimate 3D warping traces, respectively. After that, the hole-filled regions are estimated and the left-right-eye image discrimination (LR discrimination) is also conducted. Experimental results demonstrate the effectiveness of the proposed method using quantitative measures.