A detailed survey on 2D and 3D still face and face video databases part II
Rithik Appachi Senthilkumar, R. K. Gnanamurthy · 2014
This paper describes in detail about important 2D and 3D face and video face databases. The face and video face databases discussed here includes: Indian Institute of Technology Kanpur (IIT-K) database, Makeup dataset, University of North Carolina Wilmington Craniofacial Morphology (MORPH) non-commercial face database, Surveillance face (SCface) database, YouTube face database and University of Mialno Bicocca 3D face database (UMBDB). The facial image captured may be colour or gray, with or without makeup, same pose or different poses, occluded or not occluded, neutral expression or non-neutral expression (angry, sad, laughter, smile, sleepy), different illumination conditions, in the presence of visible light or Infrared captured. The subject may be Asian or African or American or European. For above said reasons, different face and video face databases developed in the past 20 years and few important databases are analyzed here.