Title :
A hybrid approach to mouth features detection
Author :
Pantic, Maja ; Tomc, Milan ; Rothkrantz, Leon J M
Author_Institution :
Fac. of Inf. Technol. & Syst., Delft Univ. of Technol., Netherlands
Abstract :
This paper presents a novel, robust and flexible method for extracting four mouth features (top of the upper lip, bottom of the lower lip, left and right mouth corners) from facial image sequences. While robustness is referred to subject variability, pose, and image quality, flexibility is begotten by efficient fusion of several information sources and expounding the certainty of the generated results
Keywords :
edge detection; face recognition; feature extraction; fuzzy logic; image sequences; inference mechanisms; knowledge based systems; neural nets; uncertainty handling; ANN; edge detection; facial image sequences; feature extraction; fuzzy reasoning; hybrid approach; image quality; information source fusion; mouth feature detection; pose; robustness; rule-based reasoning; subject variability; uncertainty; Active shape model; Computer vision; Data mining; Deformable models; Face detection; Facial features; Feature extraction; Image sequences; Mouth; Robustness;
Conference_Titel :
Systems, Man, and Cybernetics, 2001 IEEE International Conference on
Conference_Location :
Tucson, AZ
Print_ISBN :
0-7803-7087-2
DOI :
10.1109/ICSMC.2001.973081
