Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | Advances in Visual Computing |
| Untertitel | 11th International Symposium, ISVC 2015, Proceedings, Part II |
| Herausgeber/-innen | Bahram Parvin, Darko Koracin, Rogerio Feris, Gunther Weber, Ioannis Pavlidis, Tim McGraw, Regis Kopper, Zhao Ye, Eric Ragan, George Bebis, Mark Elendt, Richard Boyle |
| Seiten | 365-376 |
| Seitenumfang | 12 |
| Publikationsstatus | Veröffentlicht - 18 Dez. 2015 |
| Veranstaltung | 11th International Symposium on Advances in Visual Computing , ISVC 2015 - Las Vegas, USA / Vereinigte Staaten Dauer: 14 Dez. 2015 → 16 Dez. 2015 |
Publikationsreihe
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Band | 9475 |
| ISSN (Print) | 0302-9743 |
| ISSN (elektronisch) | 1611-3349 |
Abstract
We tackle the facial landmark localization problem as an inference problem over a Markov Random Field. Efficient inference is implemented using Gibbs sampling with approximated full conditional distributions in a latent variable model. This approximation allows us to improve the runtime performance 1000-fold over classical formulations with no perceptible loss in accuracy. The exceptional robustness of our method is realized by utilizing a L1-loss function and via our new robust shape model based on pairwise topological constraints. Compared with competing methods, our algorithm does not require any prior knowledge or initial guess about the location, scale or pose of the face.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Theoretische Informatik
- Informatik (insg.)
- Allgemeine Computerwissenschaft
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Advances in Visual Computing : 11th International Symposium, ISVC 2015, Proceedings, Part II. Hrsg. / Bahram Parvin; Darko Koracin; Rogerio Feris; Gunther Weber; Ioannis Pavlidis; Tim McGraw; Regis Kopper; Zhao Ye; Eric Ragan; George Bebis; Mark Elendt; Richard Boyle. 2015. S. 365-376 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Band 9475).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Facial Landmark Localization Using Robust Relationship Priors and Approximative Gibbs Sampling
AU - Vogt, Karsten
AU - Müller, Oliver
AU - Ostermann, Jörn
PY - 2015/12/18
Y1 - 2015/12/18
N2 - We tackle the facial landmark localization problem as an inference problem over a Markov Random Field. Efficient inference is implemented using Gibbs sampling with approximated full conditional distributions in a latent variable model. This approximation allows us to improve the runtime performance 1000-fold over classical formulations with no perceptible loss in accuracy. The exceptional robustness of our method is realized by utilizing a L1-loss function and via our new robust shape model based on pairwise topological constraints. Compared with competing methods, our algorithm does not require any prior knowledge or initial guess about the location, scale or pose of the face.
AB - We tackle the facial landmark localization problem as an inference problem over a Markov Random Field. Efficient inference is implemented using Gibbs sampling with approximated full conditional distributions in a latent variable model. This approximation allows us to improve the runtime performance 1000-fold over classical formulations with no perceptible loss in accuracy. The exceptional robustness of our method is realized by utilizing a L1-loss function and via our new robust shape model based on pairwise topological constraints. Compared with competing methods, our algorithm does not require any prior knowledge or initial guess about the location, scale or pose of the face.
UR - http://www.scopus.com/inward/record.url?scp=84952802465&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-27863-6_34
DO - 10.1007/978-3-319-27863-6_34
M3 - Conference contribution
AN - SCOPUS:84952802465
SN - 9783319278629
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 365
EP - 376
BT - Advances in Visual Computing
A2 - Parvin, Bahram
A2 - Koracin, Darko
A2 - Feris, Rogerio
A2 - Weber, Gunther
A2 - Pavlidis, Ioannis
A2 - McGraw, Tim
A2 - Kopper, Regis
A2 - Ye, Zhao
A2 - Ragan, Eric
A2 - Bebis, George
A2 - Elendt, Mark
A2 - Boyle, Richard
T2 - 11th International Symposium on Advances in Visual Computing , ISVC 2015
Y2 - 14 December 2015 through 16 December 2015
ER -