View-dependent nonuniform sampling for image-based rendering
In this paper, we propose an algorithm for view-dependent nonuniform sampling for image-based rendering (IBR). Given a set of virtual views, the positions of the capturing cameras are rearranged in order to obtain the optimal rendering quality. The resulting arrangement of the cameras is effectively nonuniform sampling of the plenoptic function. We formulate the above sampling problem as a recursive weighted vector quantization problem, which can be solved efficiently. Experimental results show that the nonuniform sampling scheme renders much better images than traditional uniform sampling methods.