Key-Frame-Based Background Sprite Generation for Hole Filling in Depth Image-Based Rendering

Abstract

In this paper, we propose a new depth image-based rending scheme for 3DTV applications, where a background sprite model is utilized for dis-occlusion/hole filling purpose. Dissimilar to traditional spatial (e.g., interpolation or inpainting) and temporal methods, our algorithm is capable of recovering the holes with true background information by incrementally integrating the spatial and temporal information of the video in a unified background sprite model. The technique of background sprite model construction in this paper is featured of resolving camera motions existing in most of the consumer videos, accurate registration of multiframe information, and efficient memory use and computation in realistic 3DTV application. To register/stitch each input frame to the background sprite model accurately, foreground removal considering color and depth information, and an adaptive key-frame-based scheme are developed for transform computation. Experimental results show that our proposed scheme has a large temporal reference distance and can retrieve true background information accurately, thus leading to better quality after novel view synthesis compared to existing spatial or spatio-temporal algorithms, especially for videos with significant camera motions or complex backgrounds.