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Reference TypeConference Proceedings
Identifier8JMKD3MGPBW34M/3884JEB
Repositorysid.inpe.br/sibgrapi/2010/09.08.23.39
Metadatasid.inpe.br/sibgrapi/2010/09.08.23.39.01
Sitesibgrapi.sid.inpe.br
Citation KeyQueirozCoMoBrJaMu:2010:GeFaGr
Author1 Queiroz, Rossana B.
2 Cohen, Marcelo
3 Moreira, Juliano
4 Braun, Adriana
5 Jacques Junior, Julio C.
6 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
4 Pontifícia Universidade Católica do Rio Grande do Sul
5 Pontifícia Universidade Católica do Rio Grande do Sul
6 Pontifícia Universidade Católica do Rio Grande do Sul
TitleGenerating Facial Ground Truth with Synthetic Faces
Conference NameConference on Graphics, Patterns and Images, 23 (SIBGRAPI)
Year2010
EditorBellon, Olga
Esperança, Claudio
Book TitleProceedings
DateAug. 30 - Sep. 3, 2010
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationGramado
KeywordsComputer Vision, Ground Truth, Computer Animation.
AbstractThis work describes a methodology for generation of facial ground truth with synthetic faces. Our focus is to provide a way to generate accurate data for the evaluation of Computer Vision algorithms, in terms of facial detection and its components. Such algorithms play a key role in face detection. We present a prototype in which we can generate facial animation videos using a 3D face models database, controlling face actions, illumination conditions and camera position. The facial animation platform allows us to generate animations with speech, facial expressions and eye motion, in order to approach realistic human face behavior. In addition, our model provides the ground truth of a set of facial feature points at each frame. As result, we are able to build a video database of synthetic human faces with ground truth, which can be used for training/evaluation of several algorithms for tracking and/or detection. We also present experiments using our generated videos to evaluate face, eye and mouth detection algorithms, comparing their performance with real video sequences.
Languageen
Tertiary TypeFull Paper
FormatPrinted, On-line.
Size5057 KiB
Number of Files1
Target FileCamera_Ready_70481.pdf
Last Update2010:09.08.23.39.01 sid.inpe.br/banon/2001/03.30.15.38 fellowsheep@gmail.com
Metadata Last Update2010:10.01.04.19.39 sid.inpe.br/banon/2001/03.30.15.38 fellowsheep@gmail.com {D 2010}
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History2010-10-01 04:19:39 :: fellowsheep@gmail.com -> :: 2010
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