Effects of 3D Registration on Subspace Based Face Recognition Methods

2008-04-22
USTUN, Bulent
Halıcı, Uğur
ULUSOY PARNAS, İLKAY
The effect of 3D registation is examined through various subspace based recognition algorithms. Iterative Closest Point (ICP) algorithm and its variations are used for registration and Eigenface, Fisherface, NMF (Nonnegative Matrix Factorization) and ICA (Independent Component Analysis) are used for recognition. It is observed that ICP and its variations converges to the place on the database FRGC v. 1 used. Among the recognition algorithms Fisher-face and ICA are performed better than the others.

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Citation Formats
B. USTUN, U. Halıcı, and İ. ULUSOY PARNAS, “Effects of 3D Registration on Subspace Based Face Recognition Methods,” 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/52526.