The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/3a5eb5a8-bbae-4dd9-9a8d-d621bc1e36d2

Tajdari, Farzam (2024): Data accompanying the doctoral thesis "Advancing non-rigid 3D/4D human mesh registration for ultra personalization". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/3a5eb5a8-bbae-4dd9-9a8d-d621bc1e36d2.v1

Dataset

• Mechanical Engineering
• Electrical and Electronic Engineering
• Automotive Engineering
• Engineering

3D mesh registration, 4D scanning, computational design framework, human body shapes, personalized design

CC BY-ND 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Farzam Tajdari

This dataset includes all the data and codes used in the doctoral thesis "Advancing non-rigid 3D/4D human mesh registration for ultra personalization", which contains six sections corresponding to each technical chapter (6 chapters in total from chapter 2 to chapter 7). Sections 1, and 2, discuss 3D non-rigid registration methods including datasets of human feet, full human body, and the human spine. Section 3 presents a volumetric detailed human body spine. Section 4 introduces a MATLAB code for designing an optimal scanner using Intel Realsense depth cameras. Sections 5 and 6 include a 4D dataset of walking human complete feet.

• 2024-03-22 first online, published, posted

4TU.ResearchData

folders/rar; image/fig; code/m; data/mat

Advancing non-rigid 3D/4D human mesh registration for ultra personalization

• https://doi.org/10.1109/TIP.2022.3148822
• https://doi.org/10.1109/TVCG.2023.3283990
• https://link.springer.com/article/10.1007/s00366-022-01742-2
• https://doi.org/10.1115/DETC2022-89145
• https://doi.org/10.1115/DETC2022-90073

TU Delft, Faculty of Industrial Design Engineering, Department of Emerging Materials