Table 5 A representative list of face quality assessment algorithms
From: Biometric quality: a review of fingerprint, iris, and face
| Application | Algorithm | Description |
|---|---|---|
| Still-image | Subasic et al.[69] | Seventeen automatic tests in conjuncture with the ICAO face image presentation standards |
| Hsu et al.[13] | Automatic evaluator of the ISO/JEC 19794-5 face standards | |
| Youmaran and Adler[5] | Biometric information defined from information theory | |
| Gao et al.[70] | Asymmetry in LBP features[71] as a measure of the quality | |
| Zhang et al.[72] | Asymmetry using SIFT features | |
| Video-frame | Wong et al.[73] | Comparison of a facial image with ideal face models |
| Nasrollahi and Moeslund[74] | Geometrical pose estimation using face bounding box | |
| Long et al.[75] | Assess sharpness, brightness, resolution, and pose in NIR videos | |
| Yao et al.[76] | Sharpness measure from frame selection |
