Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2009 / Cilt: 9 - Sayı: 2

Face recognition and reconstruction using eigenfaces

Sayfa
997–1001
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Reconstruction process simply implied as reversing the eigenface procedure.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this paper, PCA based face recognition system and reconstruction of faces from principle components of faces are represented.
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Temel Bulgular & Veri:Principle component analysis used for construction of eigenfaces of given training set images.
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Sonuç & Katkı:Reconstruction process simply implied as reversing the eigenface procedure.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this paper, PCA based face recognition system and reconstruction of faces from principle components of faces are represented. Principle component analysis used for construction of eigenfaces of given training set images. Using the eigenface method, expression of each face’s data reduced to a very small integer array. Euclidian distance was used for classification of test images. Reconstruction process simply implied as reversing the eigenface procedure.

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Bu Makaleye Atıf Yap

ÖZTAŞ, O., ALTIOK, G. (2022). Face recognition and reconstruction using eigenfaces. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 9 - Sayı: 2, 997–1001. https://ajindex.com/articles/543741

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Kaynakça (1)

  1. Matthew Turk and Alex Petland, Eigenfaces for Recognition, 1991 [2] Hyonjoon Moon, P. Jonathon Phillips, Computational and performance aspects of PCA-based face-recognition algorithms, 2000 [3] Javier Ruiz-del-Solar, Eigenspace-Based Face Recognition: A Comparative Study of Different Approaches, 2005 [4] Young-Gil Kim, Young-Jun Song, Un-Dong Chang, Dong-Woo Kim, Tae-Sung Yun, Jae-Hyeong Ahna, Face recognition using a fusion method based on bidirectional 2DPCA, 2008 [5] R. Jenkins* and A. M. Burton, 100% Accuracy in Automatic Face Recognition, 2008 [6] Kevin W. Bowyer, Face Recognition Technology: Security versus Privacy, 2004