Cross-Modality Feature Learning Through Generic Hierarchical Hyperlingual-Words

• Published in: IEEE transaction on neural networks and learning systems Vol. 28; no. 2; pp. 451 - 463
• Main Authors: Shao, Ming, Fu, Yun
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.02.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cross-modality face recognition; Face; Face recognition; Feature recognition; Histograms; hyperlingual-words (Hwords); Illumination; Image classification; Learning systems; Light; Measurement; near infrared (NIR); Near infrared radiation; Object recognition; Pattern recognition; Semantics; State of the art; Structural hierarchy; Training; Variation; Visualization; weighted distance metric

Recognizing facial images captured under visible light has long been discussed in the past decades. However, there are many impact factors that hinder its successful application in real-world, e.g., illumination, pose variations. Recent work has concentrated on different spectrals, i.e., near infrar...