In this paper, we present a complete framework for networked holo-gram adaptive transmission; we propose a well-suited wavelet basis allowing efficient local diffractive pattern extraction according to the user position, expose the relations between observer parameters and the pruning in the wavelet decomposition representation, and explain how the reconstruction is performed. The proposed framework has been validated on an experimental setup involving a kinect sensor for viewer position estimation.
['Kartik Viswanathan', 'Patrick Gioia', 'Luce Morin']
A framework for view-dependent hologram representation and adaptive reconstruction