Dipl.-Inf. Georg Layher

Forschungsinteressen

Forschungsprojekte

Nationale Projekte:

Eine Companion-Technologie für kognitive technische Systeme (SFB / Transregio 62)

Publikationen

2012

Scherer S., Glodek, M., Layher, G., Schels, M., Schmidt, M., Schwenker, F., Neumann, H., Palm, G. (2012).
A Generic Framework for the Inference of User States in Human Computer Interaction: How patterns of low level behavioral cues support complex User States in HCI. Journal on Multimodal User Interfaces. (accepted)

Scherer S., Layher, G., Kane, J., Neumann, H., Campbell, N. (2012).
An audiovisual political speech analysis incorporating eye-tracking and perception data. Proc. International Conference on Language Resources and Evaluation (LREC ‘12). (accepted)

Layher, G. , Giese, M., Neumann, H. (2012).
Learning intermediate level representations for implied motion and action sequence recognition. Workshop on Deep Hierarchies, CogSys 2012. (accepted)

Layher, G. , Neumann, H. (2012).
Neural mechanisms of action recognition and implied motion. Annual Meeting of the Vision Sciences Society (VSS 2012). (accepted)

2011

Layher, G., Tschechne, S., Scherer, S., Brosch, T., Curio, C., Neumann, H. (2011).
Social Signal Processig in Companion Systems - Challenges Ahead.
Proc. 41th Conference of the Gesellschaft für Informatik (Informatik'11). GI-Edition LNI, 239.

Layher, G., Liebau, H., Niese, R., Al-Hamadi, A., Michaelis, B., Neumann, H. (2011).
Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework.
Proc. International Conference on Image Analysis and Processing (ICIAP'11). Springer LNCS 6978, 227-236.

Layher, G., Neumann, H. (2011).
Learning Action Recognition and Implied Motion - A Neural Model.
Proc. 34th European Conference on Visual Perception (ECVP'11). Perception, supplement, 40, 176

Glodek, M., Tschechne, S., Layher, G., Schels, M., Brosch, T., Scherer, S., Kächele, M., Schmidt, M., Neumann, H., Palm, G., Schwenker, S. (2011).
Multiple Classifier Systems for the Classification of Audio-Visual Emotional States.
Proc. 4th International Conference on Affective Computing and Intelligent Interaction (ACII'11),. Springer LNCS 6975, 359-368.

2010

Strauß, P., Scherer, S., Layher, G., Hoffmann, H. (2010).
Evluation of the PIT corpus or what a difference a face makes.
Proc. International Conference on Language Resources and Evaluation (LREC ‘10), 3470-3474

2007

Weidenbacher, U., Layher, G., Neumann, H. (2007).
A comprehensive head pose and gaze database.
Proc. IET International Conference on Intelligent Environments, 455-458.

2006

Weidenbacher, U., Layher, G., Bayerl, P., Neumann, H. (2006).
Detection of head and gaze direction for human-computer interaction.
Proc. International Tutorial and Research Workshop (PIT ‘06). Springer LNAI 4021, 9-19.

Image Databases

Face and Head Pose Databases

	The UUlm Head Pose and Gaze Database (uulmHPGDatabase) contains images of 20 subjects in various configurations of head poses and gaze directions. Altogether there are 2220 images within the database. uulmHPGDatabase
	The UUlm Head Pose Database (uulmHPDatabase) consists of images of 20 subjects, each in 51 different head poses. Altogether, the database contains 1020 images. uulmHPDatabase