Autostereoscopic displays, allows one to see in 3D without glasses it requires at least 2 views and is often to maximize
user comfort. However multi-view capture is too complex for more than two cameras. Furthermore there is no
interoperability between 3D displays because each manufacturer has his specific input format. Thus we propose an
efficient automatic conversion from stereoscopic views to N views for a rendering on various autostereoscopic screens.
We describe the 2 main steps achieving automatic conversion from 2 to N views: disparity map estimation and view
interpolation. We use graph cut algorithm to compute the disparity map with occlusions detection. As the quality of the
disparity map is essential for interpolation we have developed an efficient management of occlusions through
morphological operation, outliers erasing and padding with the smallest disparity. We thus reconstruct details even for
concave objects. We also apply spatial regularization preserving borders and temporal smoothing with motion
compensation. Those processes improve considerably the quality of the depths map videos. Virtual views are then
generated through view morphing based on disparity to avoid 3D manipulation of data. Occlusion areas are managed and
irregular morphing pixel locations are resampled with a B-spline filter adapted to view interpolation.