TY - GEN
T1 - A 3D reconstruction method with color reproduction from multi-band and multi-view images
AU - Ito, Shuya
AU - Ito, Koichi
AU - Aoki, Takafumi
AU - Tsuchida, Masaru
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85016129653&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016129653&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-54427-4_18
DO - 10.1007/978-3-319-54427-4_18
M3 - Conference contribution
AN - SCOPUS:85016129653
SN - 9783319544267
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 236
EP - 247
BT - Computer Vision - ACCV 2016 Workshops, ACCV 2016 International Workshops, Revised Selected Papers
A2 - Ma, Kai-Kuang
A2 - Lu, Jiwen
A2 - Chen, Chu-Song
PB - Springer Verlag
T2 - 13th Asian Conference on Computer Vision, ACCV 2016
Y2 - 20 November 2016 through 24 November 2016
ER -