Synchronization error compensation of multi-view RGB-D 3D modeling system

Ju Hwan Lee, Eung Su Kim, Soon Yong Park

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

Finding 3D transformation relationship between multiple RGB-D cameras accurately is necessary to generate a complete 3D model from depth images. In this paper, we propose a convenient method to find the 3D transformation between multiple RGB-D cameras using centroids of an independently moving spherical object. In a multiple camera system, we should always consider the synchronization problem. Therefore, we first define how we managed to compensate for this problem. Next, we introduce a method to find the centroids of the moving sphere using the RANSAC algorithm and refine them based on the movement distance values. Finally, we calculate the 3D transformation relationship using the refined centroids and evaluate the robustness of the proposed calibration method by comparing 3D reconstruction results.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2016 Workshops, ACCV 2016 International Workshops, Revised Selected Papers
EditorsKai-Kuang Ma, Jiwen Lu, Chu-Song Chen
PublisherSpringer Verlag
Pages162-174
Number of pages13
ISBN (Print)9783319544267
DOIs
StatePublished - 2017
Event13th Asian Conference on Computer Vision, ACCV 2016 - Taipei, Taiwan, Province of China
Duration: 20 Nov 201624 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10117 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference13th Asian Conference on Computer Vision, ACCV 2016
Country/TerritoryTaiwan, Province of China
City Taipei
Period20/11/1624/11/16

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