RGB-D Depth Inpainting with Color Guide Inverse Distance Weight

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Publication Details

Author list: Keaomanee Y., Youngkong P.

Publisher: Hindawi

Publication year: 2019

Start page: 249

End page: 253

Number of pages: 5

ISBN: 9781728110196

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076788381&doi=10.1109%2fINCIT.2019.8912139&partnerID=40&md5=07ddf5c88d37e7e6f30ddfd2718fecfd

Languages: English-Great Britain (EN-GB)

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Abstract

This paper proposed a method to increase the precision of the depth inpainting method by using depth and color information from the RGB-D system in the same image frame. The procedure consists of 2 steps. The first part is color similarity checking, this part tries to select the same color in a window to collected neighbor depth information. The second step is weight calculation, for this step, The color weights of all selection points in a window are calculated and normalized. The predicted value of depth in a missing pixel is calculated by the relation of all color weight and their depth data. The experimental results showed that the proposed method improved the accuracy of depth inpainting. ฉ 2019 IEEE.

Keywords

Depth inpainting, RGB guide