@inproceedings{663e4e7674a94590a20c881f936ff4f4,
title = "Dual-Way Guided Depth Image Inpainting with RGBD Image Pairs",
abstract = "Raw depth images acquired by low-cost range imaging sensors, such as Kinect v1 and Kinect v2, usually contain invalid regions without depth information and suffer from noise. Although many approaches are proposed to address the problems, the robustness of these approaches still needs enhancement. This paper introduces a dual-way guided inpainting method with RGBD image pairs to restore the missing depth values of invalid regions and to eliminate noise caused by acquisition apparatus. By leveraging the structural difference between the colour and depth images, the colour image is first segmented with watershed segmentation and then merged under the guidance of the simultaneously captured depth image, followed by inpainting the depth image guided by the merged colour image using Radial Basis Functions (RBFs). The proposed framework of the dual-way guided approach with the RBFs is new for depth image inpainting and outperforms the existing state-of-the-art approaches in the experimental evaluations.",
keywords = "Depth image inpainting, Guided filtering, Image processing, Multimedia sensor, RBF",
author = "Hua Yuan and Yuanyuan Zhou and Yun Sheng and Guixu Zhang",
note = "Publisher Copyright: {\textcopyright} 2018, Springer International Publishing AG.; 24th International Conference on MultiMedia Modeling, MMM 2018 ; Conference date: 05-02-2018 Through 07-02-2018",
year = "2018",
doi = "10.1007/978-3-319-73603-7\_15",
language = "英语",
isbn = "9783319736020",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "178--189",
editor = "Klaus Schoeffmann and Moncef Gabbouj and O'Connor, \{Noel E.\} and Ahmed Elgammal and Chalidabhongse, \{Thanarat H.\} and Supavadee Aramvith and Ngo, \{Chong Wah\} and Yo-Sung Ho",
booktitle = "MultiMedia Modeling - 24th International Conference, MMM 2018, Proceedings",
address = "德国",
}