Abstract
Splicing is a common image manipulation technique, where parts of multiple images are combined to create a new composite image. Commercial image editing software enables almost anyone to splice images and create fake photographs. This paper investigates how the relationship between object distance and internal depth can aid in detecting spliced stereoscopic images. An equation is derived for predicting the distance at which an object loses internal depth. Experiments with stereoscopic images indicate that the analysis of this depth information can assist in detecting image splicing.
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M. Anderson, Can Mario make the leap? [Tools and Toys], IEEE Spectrum, vol. 48(6), pp. 24–26, 2011.
Camera and Imaging Products Association, CIPA DC-007 Standard: Multi-Picture Format, Tokyo, Japan, 2009.
N. Dodgson, Autostereoscopic 3D displays, IEEE Computer, vol. 38(8), pp. 31–36, 2005.
E. Dubois, A projection method to generate anaglyph stereo images, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, pp. 1661–1664, 2001.
H. Farid, Image forgery detection, IEEE Signal Processing, vol. 26(2), pp. 16–25, 2009.
M. Fouche and M. Olivier, Detecting non-stereoscopic to stereoscopic image splicing with the use of disparity maps, Proceedings of the Annual Conference of the South African Institute of Computer Scientists and Information Technologists, pp. 271–274, 2011.
R. Granty, T. Aditya and S. Madhu, Survey of passive methods for image tampering detection, Proceedings of the International Conference on Communication and Computational Intelligence, pp. 431–436, 2010.
W. Grip, R. Grip and R. Morrison, Application of aerial photography and photogrammetry in environmental forensic investigations, Environmental Forensics, vol. 1(3), pp. 121–129, 2000.
M. Harris, Your next camera will shoot 3-D [Tools and Toys], IEEE Spectrum, vol. 48(1), p. 22, 2011.
S. Kim and E. Kim, A new liquid crystal display based polarized stereoscopic projection method with improved light efficiency, Optics Communications, vol. 249(1-3), pp. 51–63, 2005.
G. Lawton, 3D displays without glasses: Coming to a screen near you, IEEE Computer, vol. 44(1), pp. 17–19, 2011.
P. Leger, R. Deen and R. Bonitz, Remote image analysis for Mars Exploration Rover mobility and manipulation operations, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 1, pp. 917–922, 2005.
C. Martin, LG Optimus 3D vs. HTC Evo 3D head to head review, TheInquirer.net, September 7, 2011.
Y. Moudden, P. Venault, A. Barnacka, D. Calvet, J. Glicenstein and M. Vivier, The level 2 trigger of the H.E.S.S. 28 meter Cherenkov Telescope, IEEE Transactions on Nuclear Science, vol. 58(4), pp. 1685–1691, 2011.
J. Mrovlje and D. Vrancic, Distance measuring based on stereoscopic pictures, Proceedings of the Ninth International Ph.D. Workshop on Systems and Control, vol. 2, pp. 1–6, 2008.
A. Rocha, W. Scheirer, T. Boult and S. Goldenstein, Vision of the unseen: Current trends and challenges in digital image and video forensics, ACM Computing Surveys, vol. 43(4), article 26, 2011.
J. Stamas, Sony unveils HDR-TD10 3D camcorder, CamcorderInfo.com, January 5, 2011.
M. Stockfisch, Prospective standards for in-home 3D entertainment products, Digest of Technical Papers of the International Conference on Consumer Electronics, pp. 133–134, 2010.
S. Volbracht, K. Shahrbabaki, G. Domik and G. Fels, Perspective viewing, anaglyph stereo or shutter glass stereo? Proceedings of the IEEE Symposium on Visual Languages, 1996.
J. Wang, F. Shi, J. Zhang and Y. Liu, A new calibration model of camera lens distortion, Pattern Recognition, vol. 41(2), pp. 607–615, 2008.
S. Wang, J. Chen, Z. Dong and R. Ledley, SMIS – A real-time stereoscopic medical imaging system, Proceedings of the Seventeenth IEEE Symposium on Computer-Based Medical Systems, pp. 197–202, 2004.
C. Wheatstone, On some remarkable, and hitherto unobserved, phenomena of binocular vision, Philosophical Transactions of the Royal Society of London, vol. 128, pp. 371–394, 1838.
A. William, Stereoscopic visualization of scientific and medical content for education: Seeing in 3D, Proceedings of the Fourth IEEE International Conference on eScience, pp. 319–320, 2008.
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Fouche, MA., Olivier, M. (2012). Using Internal Depth to Aid Stereoscopic Image Splicing Detection. In: Peterson, G., Shenoi, S. (eds) Advances in Digital Forensics VIII. DigitalForensics 2012. IFIP Advances in Information and Communication Technology, vol 383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33962-2_22
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DOI: https://doi.org/10.1007/978-3-642-33962-2_22
Publisher Name: Springer, Berlin, Heidelberg
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