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2009
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3D facial visualization through adaptive spread spectrum synchronous scalable (A4S) data hiding

8 years 1 months ago
3D facial visualization through adaptive spread spectrum synchronous scalable (A4S) data hiding
An adaptive spread spectrum synchronous scalable(A4S) data hiding strategy is being put forward to integrate the disparate 3D facial visualization data, into a single JPEG2000 format file with the aim to cater diverse clients in various bandwidth scenarios. The method is both robust and imperceptible in the sense that the robustness of the spread spectrum (SS) is coupled with the removable embedding that ensures highest possible visualization quality. The SS embedding of the DWT-domain 2.5D facial model is carried out in the transform domain YCrCb components, of the 2D texture, from the coding stream of JPEG2000 codec just after the DWT stage. High depth map quality is ensured through the adaptation of synchronization during embedding that would exclude some highest frequency subbands. The results show that the method can be exploited for video-surveillance and video-conference applications.
Khizar Hayat, William Puech, Gilles Gesquiè
Added 19 Feb 2011
Updated 19 Feb 2011
Type Journal
Year 2009
Where ICIP
Authors Khizar Hayat, William Puech, Gilles Gesquière, Gérard Subsol
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