Name
Abstract | ||
|---|---|---|
Different researches suggest that inner facial features are not the only discriminative features for tasks such as person identification or gender classification. Indeed, they have shown an influence of features which are part of the local face context, such as hair, on these tasks. However, object-centered approaches which ignore local context dominate the research in computational vision based facial analysis. In this paper, we performed an analysis to study which areas and which resolutions are diagnostic for the gender classification problem. We first demonstrate the importance of contextual features in human observers for gender classification using a psychophysical "bubbles" technique. The success rate achieved without internal facial information convinced us to analyze the performance of an appearance-based representation which takes into account facial areas and resolutions that integrate inner features and local context. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-76725-1_29 | CIARP |
Keywords | Field | DocType |
gender classification,local face context,account facial area,automatic gender classification,internal facial information,local context,inner feature,gender classification problem,facial analysis,appearance-based representation,inner facial feature,personal identity,computer vision,pca,svm | Computer vision,Computational vision,Pattern recognition,Computer science,Support vector machine,Speech recognition,Artificial intelligence,Discriminative model,Facial analysis | Conference |
Volume | ISSN | ISBN |
4756 | 0302-9743 | 3-540-76724-X |
Citations | PageRank | References |
7 | 0.51 | 11 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Modesto Castrillón-Santana | 1 | 41 | 5.14 |
| Quoc C. Vuong | 2 | 61 | 4.22 |