Novel view synthesis for RGB-D camera networks

Anh Minh Truong, Wilfried Philips, Nikos Deligiannis

Research output: Chapter in Book/Report/Conference proceedingConference paper

Abstract

This paper presents a novel method for view synthesis from sparse neighboring views based on RGB-D images. However, distortion and misalignment can occur in the warped images from neighboring viewpoints to the target viewpoint due to errors in the estimated depth map and camera calibration. This degrades the quality of the novel view images, especially when the cameras are far apart. We propose a novel network to estimate the offsets needed to compensate for the misalignment. The experimental results on the ScanNet dataset show that the proposed method outperforms the others. The experimental results on the ScanNet dataset show that the proposed method outperforms the state-of-the-art methods.
Original languageEnglish
Title of host publication2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
PublisherIEEE
Pages1-5
Number of pages5
ISBN (Electronic)9781665478229
DOIs
Publication statusPublished - 2022
Event2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) - Nafplio, Greece, Nafplio, Greece
Duration: 26 Jun 202229 Jun 2022
https://2022.ivmsp.org

Publication series

NameIVMSP 2022 - 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop

Conference

Conference2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP)
Country/TerritoryGreece
CityNafplio
Period26/06/2229/06/22
Internet address

Bibliographical note

Funding Information:
This work was financially supported by the Flemish Fund for Scientific Research FWO-Flanders through the grant 3G014718.

Publisher Copyright:
© 2022 IEEE.

Copyright:
Copyright 2022 Elsevier B.V., All rights reserved.

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