Editing Facial recognition system (section)

=== 3-dimensional recognition ===
[[File:3D_face.stl|thumb|right|3D model of a human face]]
[[Three-dimensional face recognition]] technique uses 3D sensors to capture information about the shape of a face. This information is then used to identify distinctive features on the surface of a face, such as the contour of the eye sockets, nose, and chin.<ref name="Williams2" />
One advantage of 3D face recognition is that it is not affected by changes in lighting like other techniques. It can also identify a face from a range of viewing angles, including a profile view.<ref name="Williams2" /><ref name="Bonsor2" /> Three-dimensional data points from a face vastly improve the precision of face recognition. 3D-dimensional face recognition research is enabled by the development of sophisticated sensors that project structured light onto the face.<ref name="Crawford2">{{cite web|url=http://spie.org/x57306.xml|title=Facial recognition progress report|last=Crawford|first=Mark|publisher=SPIE Newsroom|access-date=October 6, 2011}}</ref> 3D matching technique are sensitive to expressions, therefore researchers at [[Technion]] applied tools from [[metric geometry]] to treat expressions as [[isometries]].<ref name="Kimmel2">{{cite web|url=https://www.cs.technion.ac.il/~ron/PAPERS/BroBroKimIJCV05.pdf|title=Three-dimensional face recognition|last=Kimmel|first=Ron|access-date=January 1, 2005}}</ref> A new method of capturing 3D images of faces uses three tracking cameras that point at different angles; one camera will be pointing at the front of the subject, second one to the side, and third one at an angle. All these cameras will work together so it can track a subject's face in real-time and be able to face detect and recognize.<ref>{{cite book|last1=Duhn|first1=S. von|last2=Ko|first2=M. J.|date=September 1, 2007|pages=1–6|doi=10.1109/BCC.2007.4430529|last3=Yin|first3=L.|last4=Hung|first4=T.|last5=Wei|first5=X.|title=2007 Biometrics Symposium |chapter=Three-View Surveillance Video Based Face Modeling for Recogniton |isbn=978-1-4244-1548-9|s2cid=25633949}}</ref>