Grassmannian Learning for Facial Expression Recognition from Video

Grassmannian Learning for Facial Expression Recognition from Video

abstract: In this thesis we consider the problem of facial expression recognition (FER) from video sequences. Our method is based on subspace representations and Grassmann manifold based learning. We use Local Binary Pattern (LBP) at the frame level for representing the facial features. Next we deve...

Full description

Bibliographic Details
Other Authors: Yellamraju, Anirudh (Author)
Format: Dissertation
Language:English
Published: 2014
Subjects:
Electrical engineering
Facial Expression Recognition from Video Sequences
Grassmannian learning for Facial Expression Recognition
Online Access:http://hdl.handle.net/2286/R.I.27490

Internet

http://hdl.handle.net/2286/R.I.27490

Similar Items