Assessing the Effect of Crossing Databases on Global and Local Approaches for Face Gender Classification

• Published in: Computer Analysis of Images and Patterns pp. 204 - 211
• Main Authors: Andreu Cabedo, Yasmina, Mollineda Cárdenas, Ramón A., García-Sevilla, Pedro
• Format: Book Chapter
• Language: English
• Published: Berlin, Heidelberg Springer Berlin Heidelberg
• Series: Lecture Notes in Computer Science
• Subjects: Cross-database Experiments; Face Gender Classification; Global/Local Representations; Statistical Study

This paper presents a comprehensive statistical study of the suitability of global and local approaches for face gender classification from frontal non-occluded faces. A realistic scenario is simulated with cross-database experiments where acquisition and demographic conditions considerably vary bet...