Human face will carry a lot of information about identity and emotional state of a person. Face recognition has very popular in multimedia communication and computer vision. There are four factors moving the precision: present, lighting, look, older. The face image are removed in the feature extraction phase in the most useful and unique characteristics. The face image is compared with the images from the database in the classification part. Pose estimation determines varied different poses in this paper.
Pose Estimation Using LBP
2018-03-01
5089317 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch