Learning modality-invariant features for heterogeneous face recognition

• Main Authors: Huang, Likun, Lu, Jiwen, Tan, Yap Peng
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: https://hdl.handle.net/10356/99421; http://hdl.handle.net/10220/12876; http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6460472&isnumber=6460043
• Institution: Nanyang Technological University

This paper addresses the problem of heterogeneous face recognition where the gallery and probe face samples are captured from two different modalities. Due to large discrepancies yet weak relationships across heterogeneous face image sets, most existing face recognition algorithms usually suffer fro...