Comparison of feature extraction methods for head recognition

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Panca Mudjirahardjo, Joo Kooi Tan, Hyoungseop Kim, Seiji Ishikawa

2016 Proceedings - 2015 International Electronics Symposium: Emerging Technology in Electronic and Information, IES 2015 Conference paper Cited by 3 Quartile

Abstract

Feature extraction plays an important role in head recognition. It transforms an original image into a specific vector to be fed into a classifier. An original image cannot be further processed directly. Raw information in an original image does not represent a specific pattern and a machine cannot understand that information. © 2015 IEEE.

Affiliations

Dept. of Electrical Engineering, Faculty of Engineering, Universitas Brawijaya, Jl. MT. Haryono 167, Malang, 65145, Indonesia; Dept. of Mechanical and Control Engineering, Faculty of Engineering, Kyushu Institute of Technology, 1-1 Sensuicho, Tobata-ku, Kitakyushu, 804-8550, Japan