3D Facial Visualization Through Adaptive Spread Spectrum Synchronous Scalable (A4S) Data Hiding - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2009

3D Facial Visualization Through Adaptive Spread Spectrum Synchronous Scalable (A4S) Data Hiding

Khizar Hayat
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William Puech
Gérard Subsol

Abstract

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.
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Dates and versions

lirmm-00416224 , version 1 (13-09-2009)

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Khizar Hayat, William Puech, Gilles Gesquière, Gérard Subsol. 3D Facial Visualization Through Adaptive Spread Spectrum Synchronous Scalable (A4S) Data Hiding. ICIP 2009 - 16th IEEE International Conference on Image Processing, Nov 2009, Cairo, Egypt. pp.2473-2476, ⟨10.1109/ICIP.2009.5413953⟩. ⟨lirmm-00416224⟩
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