umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Sample Based Texture extraction for Model based coding
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
Umeå University, Faculty of Science and Technology, Department of Applied Physics and Electronics.
2004 (English)Report (Other academic)
Abstract [en]

This paper addresses an important issue in Model-based coding, namely, how to extract the facial texture. The traditional method is to utilize a cyber scanner to get the user’s facial texture together with personal 3D head model, and use the extracted texture and model in model based coding. It is an expensive and complicate method. In this paper, we suggest to use sample based method to incorporate both motion extraction and facial texture extraction within one coding loop. This is proved to be an effective and cheaper way for developing Model based coding system.

Place, publisher, year, edition, pages
Umeå: Tillämpad fysik och elektronik , 2004. , 9 p.
Series
DML Technical Report, ISSN 1652-8441
Keyword [en]
Signalbehandling
Keyword [sv]
Signalbehandling
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:umu:diva-431OAI: oai:DiVA.org:umu-431DiVA: diva2:143443
Available from: 2005-01-26 Created: 2005-01-26 Last updated: 2016-02-23Bibliographically approved

Open Access in DiVA

fulltext(329 kB)532 downloads
File information
File name FULLTEXT01.pdfFile size 329 kBChecksum SHA-1
5bcaf2578ebddec57f79eaec1a55dc1c95fd649d92d49f6b5aa50a1c885a33ec1c4f22ea
Type fulltextMimetype application/pdf

Authority records BETA

Li, Haibo

Search in DiVA

By author/editor
Li, Haibo
By organisation
Department of Applied Physics and Electronics
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
Total: 532 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 185 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf