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Author Hajiany, A. ♦ Makhsoos, N.T. ♦ Ebrahimpour, R.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2009
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Face recognition ♦ Biological system modeling ♦ Computational modeling ♦ Mixture of Expert ♦ Data engineering ♦ Object recognition ♦ view-independent face recognition ♦ Design engineering ♦ CMU PIE dataset ♦ Biology computing ♦ Brain modeling ♦ Feature extraction ♦ C1 Standard Model Feature ♦ Intelligent systems
Abstract The proposed view-independent face recognition model based on Mixture of Expert, ME, uses feature extraction, C1 Standard Model Feature, C1 SMF, motivated from biology on the CMU PIE dataset. The strength of the proposed model is using fewer training data as well as attaining high recognition rate since C1 Standard Model Feature and the combining method based on ME were jointly used.
ISBN 9781424447350
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2009-11-30
Publisher Place Italy
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 579.16 kB
Page Count 5
Starting Page 1425
Ending Page 1429

Source: IEEE Xplore Digital Library