Name
Title | ||
|---|---|---|
Boosting Coded Dynamic Features For Facial Action Units And Facial Expression Recognition |
Abstract | ||
|---|---|---|
It is well known that how to extract dynamical features is a key issue for video based face analysis. In this paper, we present a novel approach of facial action units (AU) and expression recognition based on coded dynamical features. In order to capture the dynamical characteristics of facial events, we design the dynamical haar-like features to represent the temporal variations of facial events. Inspired by the binary pattern coding, we further encode the dynamic haar-like features into binary pattern features, which are useful to construct weak classifiers for boosting learning. Finally the Adaboost is performed to learn a set of discriminating coded dynamic features for facial active units and expression recognition. Experiments on the CMU expression database and our own facial AU database show its encouraging performance. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/CVPR.2007.383059 | 2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8 |
Keywords | Field | DocType |
pattern analysis,face recognition,gold,pattern recognition,feature extraction,image recognition,binary codes,boosting,computer science | Computer science,Coding (social sciences),Artificial intelligence,Computer vision,Facial recognition system,ENCODE,Binary pattern,AdaBoost,Pattern recognition,Binary code,Speech recognition,Feature extraction,Boosting (machine learning) | Conference |
Volume | Issue | ISSN |
2007 | 1 | 1063-6919 |
Citations | PageRank | References |
65 | 2.39 | 18 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peng Yang | 1 | 112 | 4.57 |
| QingShan Liu | 2 | 2625 | 162.58 |
| Dimitris N. Metaxas | 3 | 8834 | 952.25 |