Learning Multi-Level Features for Improved 3D Reconstruction-Reference-Cited by-同舟云学术

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Learning Multi-Level Features for Improved 3D Reconstruction

Published:2023-03-01 Issue:3 Volume:E106.D Page:381-390
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

SAFWAN MAHAD Fairuz¹,IWAMURA Masakazu¹,KISE Koichi¹

Affiliation:

1. Dept. of Computer Science and Intelligent Systems, Graduate School of Engineering, Osaka Prefecture University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E106.D/3/E106.D_2020ZDP7508/_pdf

Reference30 articles.

1. [1] L. Humbert, J.A. De Guise, B. Aubert, B. Godbout, and W. Skalli, “3D reconstruction of the spine from biplanar x-rays using parametric models based on transversal and longitudinal inferences,” Medical engineering & physics, vol.31, no.6, pp.681-687, 2009. 10.1016/j.medengphy.2009.01.003

2. [2] F. Bruno, S. Bruno, G. De Sensi, M.-L. Luchi, S. Mancuso, and M. Muzzupappa, “From 3D reconstruction to virtual reality: A complete methodology for digital archaeological exhibition,” Journal of Cultural Heritage, vol.11, no.1, pp.42-49, 2010. 10.1016/j.culher.2009.02.006

3. [3] E. Kwak, I. Detchev, A. Habib, M. El-Badry, and C. Hughes, “Precise photogrammetric reconstruction using model-based image fitting for 3D beam deformation monitoring,” Journal of Surveying Engineering, vol.139, no.3, pp.143-155, 2013. 10.1061/(asce)su.1943-5428.0000105

4. [4] X. Brunetaud, L.D. Luca, S. Janvier-Badosa, K. Beck, and M. Al-Mukhtar, “Application of digital techniques in monument preservation,” European Journal of Environmental and Civil Engineering, vol.16, no.5, pp.543-556, 2012. 10.1080/19648189.2012.676365

5. [5] Y. Ham and M. Golparvar-Fard, “Three-dimensional thermography-based method for cost-benefit analysis of energy efficiency building envelope retrofits,” Journal of Computing in Civil Engineering, vol.29, no.4, 2014. 10.1061/(asce)cp.1943-5487.0000406

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