Camera field rendering for static and dynamic scenes

Most of the previously proposed image-based rendering approaches rely on a large number of samples, accurate depth information, or 3D geometric proxies. It is, therefore, a challenge to apply them to render novel views for dynamic scenes as the required information is difficult to obtain in real-time. The proposed approach requires only sparely sampled data. Two new interpolation techniques are presented in this paper, the combination of which can produce reasonable rendering results for sparsely sampled real scenes. The first one, which is a color-matching based interpolation, searches for a possible physical point along the testing ray using color information in nearby reference images. The second technique, which is a disparity-matching based interpolation, tries to find the closest intersection between the testing ray and the disparity surfaces defined by nearby reference images. Both approaches are designed as backward rendering techniques and can be combined to produce robust results. Our experiments suggest that the proposed approach is capable of handling complex dynamic real scenes offline.