ABSTRACT
Biometrics is measurable characteristics specific to an individual. Face detection has diverse applications
especially as an identification solution which can meet the crying needs in security areas. While traditionally 2D
images of faces have been used, 3D scans that contain both 3D data and registered color are becoming easier to
acquire. Before 3D face images can be used to identify an individual, they require some form of initial alignment
information, typically based on facial feature locations. We follow this by a discussion of the algorithms
performance when constrained to frontal images and an analysis of its performance on a more complex dataset
with significant head pose variation using 3D face data for detection provides a promising route to improved
performance.
Keywords: - Biometrics, Face, Face Sensor, Feature Extraction, Template Matching.