@inproceedings{9a4f381e5605425bae815e03a04229ba,
title = "Depth upsampling by depth prediction",
abstract = "We propose a method for depth upsampling with the aid of high-resolution color image. The key novelty of our method is to exploit a spatio-temporal coherency between the color and depth image sequences. It allows us to perform a depth prediction using the responses from motion estimation in the color image sequence. The predicted depth image is able to estimate the scene boundary regions in the color image; it enables to suppress the influences of color image textures in depth upsampling. We synthesize high-resolution depth images with the help of the estimated scene boundary. Our experiments demonstrate the effectiveness of our method.",
keywords = "Depth prediction, Depth upsampling, Spatio-temporal coherency",
author = "Atsuhiko Tsuchiya and Daisuke Sugimura and Takayuki Hamamoto",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 24th IEEE International Conference on Image Processing, ICIP 2017 ; Conference date: 17-09-2017 Through 20-09-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/ICIP.2017.8296564",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "1662--1666",
booktitle = "2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings",
}