@inproceedings{08eb2512b9434274b89f5cbcedcf1e00,
title = "Subjective experiments on gender and ethnicity recognition from different face representations",
abstract = "The design of image-based soft-biometrics systems highly depends on the human factor analysis. How well can human do in gender/ethnicity recognition by looking at faces in different representations? How does human recognize gender/ethnicity? What factors affect the accuracy of gender/ethnicity recognition? The answers of these questions may inspire our design of computer-based automatic gender/ethnicity recognition algorithms. In this work, several subjective experiments are conducted to test the capability of human in gender/ethnicity recognition on different face representations, including 1D face silhouette, 2D face images and 3D face models. Our experimental results provide baselines and interesting inspirations for designing computer-based face gender/ethnicity recognition algorithms.",
keywords = "Ethnicity recognition, Face analysis, Gender recognition, Subjective experiment",
author = "Yuxiao Hu and Yun Fu and Usman Tariq and Huang, {Thomas S.}",
year = "2009",
doi = "10.1007/978-3-642-11301-7_10",
language = "English (US)",
isbn = "3642113001",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "66--75",
booktitle = "Advances in Multimedia Modeling - 16th International Multimedia Modeling Conference, MMM 2010, Proceedings",
note = "16th International Multimedia Modeling Conference on Advances in Multimedia Modeling, MMM 2010 ; Conference date: 06-10-2010 Through 08-10-2010",
}