Camera Position Optimization Using the Effective Area In Light Field Rendering
Linze Wu, Li Chen Yu, Changjian Zhu · 2014
In light field rendering, images captured by cameras are used to render virtual views. The changes in camera positions lead to different rendering quality. To improve rendering quality, it is necessary to optimize the camera position. This paper proposes a mathematical model based on a definition called effective area (EA) to rearrange cameras. EA connects camera position with the rendering error so as to quantify the suitability of a camera position for a given arrangement of virtual views. Using the EA, we present an optimization algorithm for camera position to yield the optimal quality. Simulate results demonstrate that EA can be used to quantify the rendering quality. We also show the optimization results of different arrangement of virtual views.