Depth map upsampling by self-guided residual interpolation
Yosuke Konno, Masayuki Tanaka, Masatoshi Okutomi, Yukiko Yanagawa, Koichi Kinoshita, Masato Kawade · 2016
In this paper, we propose a simple and effective depth upsampling technique using self-guided residual interpolation. The original residual interpolation requires guidance information such as high-resolution RGB color image. However, self-guided residual interpolation requires only a single depth map. In the proposed algorithm, a tentative estimation of a high-resolution depth map is first generated from an input low-resolution depth map. Then, re-interpolation is applied to the residual domain, which is defined by differences between the input depth map and the tentative estimate. A precise high-resolution depth map is obtainable by interpolating in the residual domain. Experimental results demonstrate that our algorithm can outperform state-of-the-art depth map upsampling algorithms.