H. Hong, H. Neven, and C. von der Malsburg, "Online facial expression recognition based on personalised galleries," in Proc. FG, 1998, pp. 354--359.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....scenes with cluttered backgrounds. Certain face analysis methods need the exact position of the face in order to extract facial features of interest while others work, if only the coarse location of the face is available. This is the case with e.g. active appearance models [51] Hong et al. Hong [40] used the PersonSpotter system by Ste ens et al. 77] in order to perform realtime tracking of faces. The exact face dimensions were then obtained by tting a labeled graph onto the bounding box containing the face previously detected by the PersonSpotter system. Essa and Pentland [33] located ....

.... Intensity pro les [2] Gabor wavelets [18] 35] High gradient components [52] PCA Neural networks [66] 17] Model based Active appearance model [51] 16] 24] Geometric face model [49] Point distribution model [41] 2 view point based models [68] Labeled graphs [86] 56][40] Motion Extraction Holistic Methods Local Methods Dense Optical Flow Dense ow elds [52] 2] Region based ow [57] 65] 85] Motion Models 3D motion models [33] 25] Parametric motion models [9] 84] 3D deformable models [21] 3D motion models [5] Feature Point Tracking Feature ....

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Hai Hong, Hartmut Neven, and Christoph Von der Malsburg. Online Facial Expression Recognition based on Personalized Galleries. In Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, (FG'98), pages 354-359, Nara, Japan, April 14-16 1998. IEEE.

....However, only the few cited above attempt to recognize individuals. Many other approaches attempt to recognize the ex pression, independent of the individual. Here, the most commonly used approach is to track muscle actions over time (Facial Action Coding System (FACS) Ishikawa et al. 1998; Hong et al. 1998; Lien et al. 1998] In most experiments, standard facial expressions are usually considered, including normal: a normal facial expression, i.e. no particular expression happy: a happy facial expression, ranging from a smile (closed mouth) to a laugh, open mouth) Most variations are in the ....

H. Hong, H. Neven, and C.von der Malsburg. Online facial expression recognition based on personalized galleries. In Proc. Int. Conf on Automatic Face and Gesture Recognition, Nara, Japan, April 14-16, 1998.

....analysis of facial expressions from images. Different approaches have been taken in tackling the problem: analysis of facial motion [6] 1] 12] greylevel pattern analysis [20] analysis of facial features and their spatial arrangements [2] 8] 13] 10] holistic spatial pattern analysis [7], 17] The image analysis techniques in these systems are relevant to the goal of automatic facial expression data extraction, but the systems themselves are of limited use for behavioural science investigations of the face. In many of these systems the discrimination of expressions remained at ....

Hong, H.; Neven, H.; von der Malsburg, C. 1998. Online facial expression recognition based on personalized galleries. Proc. IEEE FG, 354-359.

....systems is currently evolving to an intelligent multi modal tool. Processing, understanding and emulating auditory and visual human communicative signals by a computer will facilitate a revolutionary human like man machine interface. The existing expression recognition systems (e.g. Hong et al. [9], Otsuka and Ohya [13] Kobayashi and Hara [12] Thalmann et al. 16] mostly deal with the analysis and singular classification of the six prototypic facial expressions as defined by Ekman [5] happiness, anger, disgust, fear, surprise, sadness) However, it is not certain at all that any facial ....

H. Hong, H. Neven and C. von der Malsburg, "Online Facial Expression Recognition based on Personalised Galleries", Proc. Int'l Conf. Automatic Face and Gesture Recognition, pp. 354-359, 1998.

....recognition is based on elastic graph matching, which has already been successfully applied to object and face recognition [12, 22] For some applications such as sign language recognition, the analysis of facial expressions is important. This can also be done with elastic graph matching (e.g. [8]) but we will not discuss this point any further here. Fig. 4. Twelve postures used in a recent study [17] to determine the usefulness of color features for the hand posture analysis. Fig. 5. Examples of one posture performed by different persons against different complex backgrounds. Most of ....

H. Hong, H. Neven, and C. v. d. Malsburg. Online facial expression recognition based on personalized gallery. Proceedings of FG'98, The IEEE Third International Conference on Automatic Face and Gesture Recognition.

....monitoring, or automatic passenger tracking and identification at airports, are opened by the PersonSpotter system we have recently developed [Steffens et al. 1997] It is able to capture, track and recognize a person walking by a camera in real time. On line facial expression recognition [Hong et al. 1997] opens vistas on better human machine communication, for instance for video games, tele conferencing and computer based training systems. Recognition of facial and hand gestures [Triesch and von der Malsburg, 1996] can be used to control machines more conveniently. Fully immersive ....

Hong, H., Neven, H., and von der Malsburg, C. (1997): Online Facial Expression Recognition based on Personalized Gallery. Proc. Intl. Conf. on Automatic Faceand Gesture- Recognition, Nara, Japan (submitted).

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H. Hong, H. Neven, and C. von der Malsburg, "Online facial expression recognition based on personalised galleries," in Proc. FG, 1998, pp. 354--359.

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