Research Article
QUEST Hierarchy for Hyperspectral Face Recognition
Table 1
Algorithms Examined.
| Algorithm name | Underlying method | Recognition type | Score relative to gallery |
| Face | Eigenface | Spatial recognition | Yes | Hair | Eigenface | Spatial recognition | Yes | Skin | Eigenface | Spatial recognition | Yes | Spectral hair | Spectral angle mapping using an average hair signature | Spectral Recognition | Yes | Spectral face | Spectral angle mapping using k-means on an average face signature | Spectral recognition | Yes | Spectral face Matching | Spectral angle mapping using an average face signature | Spectral recognition | Yes | Soft | Mahalnobis distance for face area, eccentricity, and major and minor axes | Spatial recognition | Yes | Sift | SIFT using an averaged true color face image | Interest point recognition | No | HF Sift | SIFT using a hair and face composite image | Interest point and spatial recognition | No | Face using HF | Eigenface using shape of hair and skin segments | Spatial and spectral recognition | Yes | Face using HF pix | Eigenface using an image comprised of hair and skin segments only | Spatial and spectral recognition | Yes |
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