Panoramic scene generation from multi-view images with close foreground objects

Abstract

An algorithm to generate a panorama from multi-view images, which contain foreground objects with varying depths, is proposed in this work. The proposed algorithm constructs a foreground panorama and a background panorama separately, and then merges them into a complete panorama. First, the foreground panorama is obtained by finding the translational displacements of objects between source images. Second, the background panorama is initialized using warped source images and then optimized to preserve spatial consistency and satisfy visual constraints. Then, the background panorama is extended by inserting seams and merged with the foreground panorama. Experimental results demonstrate that the proposed algorithm provides visually satisfying panoramas with all meaningful foreground objects, but without severe artifacts in the backgrounds.