Improved POCS reconstruction of stereoscopic views

摘要

This paper presents an application of the projection onto convex sets (POCS) framework to the reconstruction of intermediate stereoscopic views. Such views are needed in 3-D viewing in order to simulate the so-called “look-around” as well as to adjust the perceived depth (interocular adjustment). The basic problem in the above reconstruction is that of the recovery of a regularly sampled image from its irregularly spaced samples due to disparity compensation. This problem also arises in other image processing and coding applications, such as multiple-frame motion compensation or video frame rate conversion. In our POCS-based approach to view reconstruction, two projection operators are used: bandwidth limitation and sample substitution. The bandwidth limitation can be implemented in the original domain by means of low-pass FIR filtering but we opt for a frequency-domain implementation by means of windowing. The results reported here improve our original POCS-based reconstruction method by locally adapting the algorithm to the density of image samples. We also extend the method to color images through an implementation in the luminance-chrominance space.