Knowledge-based human animation from monocular image sequences

This project focuses on the reconstruction and generation of 3D human postures, and hence 3D human motion, from 2D monocular images. The techniques proposed here consist of algorithms for both motion analysis and single frame reconstruction. An optimization algorithm is proposed by observing the nee...

Full description

Saved in:
Bibliographic Details
Main Author: Shan, Liang.
Other Authors: School of Computer Engineering
Format: Theses and Dissertations
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/2442
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-2442
record_format dspace
spelling sg-ntu-dr.10356-24422023-03-04T00:32:21Z Knowledge-based human animation from monocular image sequences Shan, Liang. School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics This project focuses on the reconstruction and generation of 3D human postures, and hence 3D human motion, from 2D monocular images. The techniques proposed here consist of algorithms for both motion analysis and single frame reconstruction. An optimization algorithm is proposed by observing the need to ensure smooth motion of the torso between consecutive frames. Master of Engineering (CSE) 2008-09-17T09:03:08Z 2008-09-17T09:03:08Z 2002 2002 Thesis http://hdl.handle.net/10356/2442 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Computer graphics
Shan, Liang.
Knowledge-based human animation from monocular image sequences
description This project focuses on the reconstruction and generation of 3D human postures, and hence 3D human motion, from 2D monocular images. The techniques proposed here consist of algorithms for both motion analysis and single frame reconstruction. An optimization algorithm is proposed by observing the need to ensure smooth motion of the torso between consecutive frames.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Shan, Liang.
format Theses and Dissertations
author Shan, Liang.
author_sort Shan, Liang.
title Knowledge-based human animation from monocular image sequences
title_short Knowledge-based human animation from monocular image sequences
title_full Knowledge-based human animation from monocular image sequences
title_fullStr Knowledge-based human animation from monocular image sequences
title_full_unstemmed Knowledge-based human animation from monocular image sequences
title_sort knowledge-based human animation from monocular image sequences
publishDate 2008
url http://hdl.handle.net/10356/2442
_version_ 1759855449323077632