A Noncoverage Field Model for Improving the Rendering Quality of Virtual Views

作者：Zhu, Changjian; Yu, Li^*; Xiong, Zixiang

来源：IEEE Transactions on Multimedia, 2018, 20(3): 738-753.

DOI：10.1109/TMM.2017.2750409

• Image-based rendering
• virtual view
• camera
• geometric configuration
• rendering quality assessment

Rendering quality optimization theory is one of the most basic and fascinating components of image-based rendering (IBR). The rendering quality of virtual views is related to the information in the source images. Capturing the image information depends on the geometric configuration of the camera (GCC) and, in particular, the positions and shooting directions of the cameras. Therefore, the rendering quality of virtual views can be improved by optimizing the GCC. This paper investigates the relationship between the GCC and the geometric configurations of the virtual view (GCVV). The influence of the GU: on the rendering quality is also analyzed. Based on the relationships among the GCC, GCVV, and rendering quality, a mathematical model of the noncoverage field (NCF) is proposed to quantify the rendering quality. The performance of the NCF is also analyzed using a set of GCVVs and GCCs. Furthermore, an optimization algorithm based on the NCF that simultaneously optimizes the position and direction of the GCC is presented. The proposed technique can be applied to obtain the optimal rendering quality of IBR for the linear case of camera positions and virtual views. Finally, experimental results are presented and compared with the theoretical results.

• 出版日期2018-3
• 单位华中科技大学