Human faces, e.g. facial parts, sketches or expressions

Full Title

Recognition of biometric, human-related or animal-related patterns in image or video data > Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands > Human faces, e.g. facial parts, sketches or expressions

Classification Context

Section:

PHYSICS

Class:

COMPUTING OR CALCULATING; COUNTING

Subclass:

IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING

Scope Notes

Glossary: eigenface eigenfaces face representation using a principal component analysis in a high-dimensional space created from images of faces. The eigenvectors of the representation are derived from the covariance matrix of the probability distribution computed in this high-dimensional vector space. fisherface fisherfaces linear discriminant analysis (LDA) applied in a multi-dimensional representation space created from a set of face images, resulting in a set of basis vectors defining that space frontal face recognition face images are generally obtained by placing a camera in front of the subject who is asked to look at the camera while the picture is taken illumination-invariant recognition recognition insensitive to changes in lighting conditions multiview face recognition employs a gallery of images of every face at various poses to cover multiple views for each face pose-invariant recognition recognition insensitive to changes in pose