Conference paper
Gender Recognition Using Cognitive Modeling
Department of Informatics and Mathematical Modeling, Technical University of Denmark1
Image Analysis and Computer Graphics, Department of Informatics and Mathematical Modeling, Technical University of Denmark2
Cognitive Systems, Department of Informatics and Mathematical Modeling, Technical University of Denmark3
In this work, we use cognitive modeling to estimate the ”gender strength” of frontal faces, a continuous class variable, superseding the traditional binary class labeling. To incorporate this continuous variable we suggest a novel linear gender classification algorithm, the Gender Strength Regression.
In addition, we use the gender strength to construct a smaller but refined training set, by identifying and removing ill-defined training examples. We use this refined training set to improve the performance of known classification algorithms. Also the human performance of known data sets is reported, and surprisingly it seems to be quite a hard task for humans.
Finally our results are reproduced on a data set of above 40,000 public Danish LinkedIN profile pictures.
| Language: | English |
|---|---|
| Publisher: | Springer |
| Year: | 2012 |
| Pages: | 300-308 |
| Proceedings: | 12th European Conference on Computer Vision (ECCV 2012)European Conference on Computer Vision |
| Series: | Lecture Notes in Computer Science |
| Journal subtitle: | Workshops and Demonstrations, Part II |
| ISBN: | 3642338674 , 3642338682 , 9783642338670 and 9783642338687 |
| ISSN: | 03029743 |
| Types: | Conference paper |
| DOI: | 10.1007/978-3-642-33868-7_30 |
| ORCIDs: | Andersen, Tobias and Paulsen, Rasmus Reinhold |
