Non-rigid 3D reconstruction of the human body in motion
|
Shafeeq Elanattil Thesis
(PDF 21MB)
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0. |
Description
This thesis addresses the challenging problem of three-dimensional (3-D) reconstruction of a fast-moving human, using a single moving camera which captures both depth and colour information (RGB-D). Our objective is to find solutions to the challenges arising from the high camera motion and articulated human motions. We have developed an effective system which uses the camera pose, skeleton detection, and multi-scale information, to produce a robust reconstruction framework for 3-D modelling of fast-moving humans. The outcome of the research is useful for several applications of human performance capture systems in sports, the arts, and animation industries.
Impact and interest:
Citation counts are sourced monthly from Scopus and Web of Science® citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.
Full-text downloads:
Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
| ID Code: | 205095 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Sridharan, Sridha, Roberts, Jonathan, Denman, Simon, Fookes, Clinton, & Moghadam, Peyman |
| Keywords: | Non-rigid, 3D Reconstruction, Human Tracking, Deformation Modelling, RGB-D camera, Deformation Graph, 3D Human, Human Performance Capture, Moving Camera, Articulated Motion |
| DOI: | 10.5204/thesis.eprints.205095 |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Current > Schools > School of Electrical Engineering & Robotics |
| Institution: | Queensland University of Technology |
| Deposited On: | 13 Nov 2020 00:42 |
| Last Modified: | 09 Dec 2020 00:42 |
Export: EndNote | Dublin Core | BibTeX
Repository Staff Only: item control page