A 3D reconstruction method with color reproduction from multi-band and multi-view images

Shuya Ito, Koichi Ito, Takafumi Aoki, Masaru Tsuchida

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

1 Citation (Scopus)

Abstract

The purpose of digital archiving is the accurate rendering of authenticated contents in terms of color and shape. This paper proposes a novel 3D reconstruction method with color reproduction from multiband and multi-view images. The proposed method consists of 5 steps: (i) feature tracking of multi-band and multi-view images, (ii) sparse 3D reconstruction using Structure from Motion (SfM), (iii) mesh generation from the sparse 3D point clouds, (iv) dense 3D reconstruction and (v) color reproduction. We create multi-band and multi-view image datasets of Japanese dolls with Kimono for quantitative performance evaluation. Through a set of experiments using our datasets, we confirm that our proposed method exhibits efficient performance of reconstructing a highquality 3D model from multi-band and multi-view images compared with conventional methods.

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
Pages236-247
Number of pages12
ISBN (Print)9783319544267
DOIs
Publication statusPublished - 2017
Event13th Asian Conference on Computer Vision, ACCV 2016 - Taipei, Taiwan, Province of China
Duration: 2016 Nov 202016 Nov 24

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

Other

Other13th Asian Conference on Computer Vision, ACCV 2016
CountryTaiwan, Province of China
City Taipei
Period16/11/2016/11/24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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