Investigation of sift for gender classification

• Main Author: Harihara Subramanian Karthikk.
• Other Authors: Sung, Eric
• Format: Theses and Dissertations
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/54701
• Institution: Nanyang Technological University

As per the recent study, the study of face images tends to dominate the research field on Gender classification. However, using face images as the primary gender classifier is possible only after considering the assumptions such as frontal face and favorable illumination conditions. Further...