Name
Title | ||
|---|---|---|
Facial expression understanding in image sequences using dynamic and active visual information fusion |
Abstract | ||
|---|---|---|
This paper explores the use of multisensory information fusion technique with dynamic Bayesian networks (DBNs) for modeling and understanding the temporal behaviors of facial expressions in image sequences. Our approach to the facial expression understanding lies in a probabilistic framework by integrating the DBNs with the facial action units (AUs) from psychological view. The DBNs provide a coherent and unified hierarchical probabilistic framework to represent spatial and temporal information related to facial expressions, and to actively select the most informative visual cues from the available information to minimize the ambiguity in recognition. The recognition of facial expressions is accomplished by fusing not only from the current visual observations, but also from the previous visual evidences. Consequently, the recognition becomes more robust and accurate through modeling the temporal behavior of facial expressions. Experimental results demonstrate that our approach is more admissible for facial expression analysis in image sequences. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1109/ICCV.2003.1238640 | ICCV |
Keywords | Field | DocType |
facial actionunits,image representation,facial features,temporal behavior,hierarchical probabilistic framework,face recognition,visual observations,bayes methods,available information,spatial information,approach tothe facial expression,active visual information fusion,psychological view,dbn,temporal information,image recognition,active visual information,spatiotemporal analysis,facial expression,emotion recognition,facial expressionsis,feature extraction,facial action unit,image sequence,image sequences,dynamic bayesian networks,facial expression understanding,computer vision,visual cues,dynamic visual information,multisensory information fusiontechnique,multisensory information fusion,offacial expression,facial expression analysisin image,information visualization,dynamic bayesian network,machine vision | Sensory cue,Spatial analysis,Computer vision,Facial recognition system,Machine vision,Pattern recognition,Computer science,Feature extraction,Facial expression,Artificial intelligence,Ambiguity,Dynamic Bayesian network | Conference |
ISBN | Citations | PageRank |
0-7695-1950-4 | 16 | 1.68 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongmian Zhang | 1 | 381 | 18.78 |
| Qiang Ji | 2 | 243 | 34.98 |