Name
Title | ||
|---|---|---|
Probabilistic Facial Feature Extraction Using Joint Distribution of Location and Texture Information |
Abstract | ||
|---|---|---|
In this work, we propose a method which can extract critical points on a face using both location and texture information. This new approach can automatically learn feature information from training data. It finds the best facial feature locations by maximizing the joint distribution of location and texture parameters. We first introduce an independence assumption. Then, we improve upon this model by assuming dependence of location parameters but independence of texture parameters. We model combined location parameters with a multivariate Gaussian for computational reasons. The texture parameters are modeled with a Gaussian mixture model. It is shown that the new method outperforms active appearance models for the same experimental setup. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/978-3-642-10520-3_112 | ISVC |
Keywords | Field | DocType |
multivariate gaussian,facial feature location,active appearance model,probabilistic facial feature extraction,combined location parameter,feature information,texture information,gaussian mixture model,location parameter,texture parameter,independence assumption,joint distribution,critical point | Training set,Computer vision,Joint probability distribution,Pattern recognition,Computer science,Active appearance model,Feature extraction,Multivariate normal distribution,Artificial intelligence,Probabilistic logic,Statistical assumption,Mixture model | Conference |
Volume | ISSN | Citations |
5876 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 7 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mustafa Berkay Yilmaz | 1 | 57 | 3.92 |
| H. Erdogan | 2 | 589 | 55.11 |
| Mustafa Ünel | 3 | 154 | 20.71 |