Depth map upsampling by self-guided residual interpolation

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 ma...

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Bibliographic Details
Published in2016 23rd International Conference on Pattern Recognition (ICPR) pp. 1394 - 1399
Main Authors Konno, Yosuke, Tanaka, Masayuki, Okutomi, Masatoshi, Yanagawa, Yukiko, Kinoshita, Koichi, Kawade, Masato
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2016
Subjects
Algorithm design and analysis
Estimation
Image resolution
Indexes
Interpolation
Sensors
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Summary: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.
DOI:10.1109/ICPR.2016.7899832