Extraction and selection of muscle based features for facial expression recognition
Benli, Kristin Surpuhi
Eskil, Mustafa Taner
MetadataTüm öğe kaydını göster
In this study we propose a new set of muscle activity based features for facial expression recognition. We extract muscular activities by observing the displacements of facial feature points in an expression video. The facial feature points are initialized on muscular regions of influence in the first frame of the video. These points are tracked through optical flow in sequential frames. Displacements of feature points on the image plane are used to estimate the 3D orientation of a head model and relative displacements of its vertices. We model the human skin as a linear system of equations. The estimated deformation of the wireframe model produces an over-determined system of equations that can be solved under the constraint of the facial anatomy to obtain muscle activation levels. We apply sequential forward feature selection to choose the most descriptive set of muscles for recognition of basic facial expressions.
Başlık, yazar, küratör ve konuya göre gösterilen ilgili öğeler.
Extraction and comparison of various prosodic feature sets on sentence segmentation task for Turkish broadcast news data Dalva, Doğan; Revidi, İzel D.; Güz, Ümit; Gürkan, Hakan (IEEE, 2014-05-14)In this work, prosodic features of the Turkish Broadcast News (BN) data are extracted using an open source prosodic feature extraction tool based on Praat. The profiles and effectiveness of these features are also investigated ...
Gürkan, Hakan; Güz, Ümit; Yarman, Bekir Sıddık Binboğa (IEEE, 2013)In this work, we present a novel biometric authentication approach based on combination of AC/DCT features, MFCC features, and QRS beat information of the ECG signals. The proposed approach is tested on a subset of 30 ...
Benli, Kristin Surpuhi; Eskil, Mustafa Taner (IEEE, 2014-04-23)In this study we propose a set of anatomy based features for facial expression recognition. The muscle forces that constitute an expression are solved by tracking carefully selected facial feature points. These points are ...