Martin Eggers

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Cytotoxic T cells recognize viral proteins as peptide fragments which are produced in the cytosol and transported on major histocompatibility complex (MHC) class I proteins to the cell surface. Viral peptides that meet the stringent binding characteristics of class I proteins are generated by the 20S proteasome. The interferon (IFN)-gamma-inducible(More)
Proteasomes degrade endogenous proteins in the cytosol. The potential contribution of the proteasome to the effect of flanking sequences on the presentation of an antigenic epitope presented by the major histocompatibility complex class I allele Ld was studied. Peptides generated in cells from minigenes coding for peptides of 17- and 19-amino acid length(More)
We present a system for facial expression recognition that is evaluated on multiple databases. Automated facial expression recognition systems face a number of characteristic challenges. Firstly, obtaining natural training data is difficult, especially for facial configurations expressing emotions like sadness or fear. Therefore, publicly available(More)
This paper describes the setup and realization of a distributed camera system designed to survey a laboratory area where humans and mobile manipulator robots collaborate jointly. The system consists of 40 industrial grade cameras surveying a 10 m by 10 m area from a top-down perspective, connected via Gigabit Ethernet (GigE) to a cluster of 40 computers for(More)
In comparison to industrial settings with structured environments, the operation of autonomous robots in unstructured and uncertain environments is more challenging. This video presents a generic control and system architecture ARCADE, applicable for real-time robot control in complex task situations. Several methods to cope with uncertainties are(More)
Recent progress in the field of Computer Vision allows intuitive interaction via speech, gesture or facial expressions between humans and technical systems.Model-based techniques facilitate accurately interpreting images with faces by exploiting a priori knowledge, such as shape and texture information. This renders them an inevitable component to realize(More)
This article presents a modular, distributed and scalable many-camera system designed towards tracking multiple people simultaneously in a natural human-robot interaction scenario set in an apartment mock-up. The described system employs 40 high-resolution cameras networked to 15 computers, redundantly covering an area of approximately 100 square meters.(More)
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