Identity statement area
Reference TypeConference Proceedings
Last Update2010:
Metadata Last Update2010:
Citation KeyMoreiraBrauMuss:2010:EyEyDe
TitleEyes and Eyebrows Detection for Performance Driven Animation
FormatPrinted, On-line.
DateAug. 30 - Sep. 3, 2010
Access Date2020, Dec. 03
Number of Files1
Size1720 KiB
Context area
Author1 Moreira, Juliano L.
2 Braun, Adriana
3 Musse, Soraia R.
Affiliation1 Pontifícia Universidade Católica do Rio Grande do Sul
2 Pontifícia Universidade Católica do Rio Grande do Sul
3 Pontifícia Universidade Católica do Rio Grande do Sul
EditorBellon, Olga
Esperança, Claudio
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Conference LocationGramado
Book TitleProceedings
PublisherIEEE Computer Society
Publisher CityLos Alamitos
History2010-10-01 04:19:39 :: -> :: 2010
Content and structure area
Is the master or a copy?is the master
Document Stagecompleted
Content TypeExternal Contribution
Tertiary TypeFull Paper
KeywordsFacial features detection, computer vision, performance driven animation.
AbstractReal-time localization of eyes and eyebrows in video sequences can find several applications in nowadays. However, this task is still a challenge, mainly if we consider images of low quality as those achieved by web cams. This paper describes a methodology to accurately detect meaningful feature points in eyes and eyebrows of people in frontal pose, in images captured by web cams. Also it discusses the mapping of the movement of the eyes of a real person to an avatar, in order to provide Performance Driven Animation (PDA). Furthermore, this paper presents obtained results and the limitations of the proposed methodology.
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