Viewpoint invariant reconstruction of 3D human skeleton from monocular images

Htike@Muhammad Yusof, Zaw Zaw (2010) Viewpoint invariant reconstruction of 3D human skeleton from monocular images. In: Sixth International Conference on Intelligent Environments, 19-21 July 2010, Kuala Lumpur, Malaysia.

PDF Restricted to Registered users only Download (741kB) | Request a copy

Abstract

We present a fast, robust, fault-tolerant and nonparametric approach to reconstruct 3D human skeleton model from single images, regardless of the viewpoint of the camera relative to the observed person. The system achieves high degree of tolerance using search-based inference and probabilistic joint labeling. The system achieves 100% view invariance using a pruning-based parallel search algorithm.

Item Type:	Conference or Workshop Item (Full Paper)
Additional Information:	6919/43200. 978-0-7695-4149-5/10 $26.00 © 2010 IEEE DOI 10.1109/IE.2010.7. Paper available online at: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5673743
Uncontrolled Keywords:	Viewpoint invariant, pose reconstruction, 3D human skeleton
Subjects:	A General Works > AI Indexes (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Mr. Zaw Zaw Htike
Date Deposited:	08 Jun 2015 11:28
Last Modified:	08 Jun 2015 11:28
URI:	http://irep.iium.edu.my/id/eprint/43200

Actions (login required)

View Item