Wide-Baseline Matte Propagation for Indoor Scenes

Digital image matting is the process of extracting foreground objects from an image. This is extremely challenging for natural images and videos because of its ill posed nature. Initial user interaction is required to aid the algorithms in identifying the definite foreground and background regions. Recently techniques have been developed to estimate the alpha matte of an image using multi-view images of a foreground object. However these algorithms are only capable of handling narrow baseline views having small intensity and structural variations in the foreground. In this paper, we propose a novel non-parametric approach to generate alpha matte for wide-baseline multi-view images having different inter-view foreground appearance.