Computer Science Department 5

Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners.

A summary of the projects at the Pattern Recognition Lab is available for download as a comprehensive brochure (PDF).

Research Areas

Medical Image Processing

The division medical image processing investigates problem statements in image fusion, reconstruction, segmentation and image analysis.

Computer Vision

The computer vision division treats the topics of reflectance analysis, forgery detection, driver assistance and optical surface measurements.

Speech Processing and Understanding

Apart from automatic feature extraction and subsequent speech recognition, our Chair deals with the following topics: spoken dialogue systems, recognition and processing of out-of-vocabulary words and automatic analysis and classification of prosodic phenomena and emotional, affective user states.

Digital Sports and Sportronics

Digital Sports is a new emerging field within computer science. We are about to develop novel digital support systems for top athletes in close collaboration with sports industry.

Available Theses

Analyse und Klassifikation von Bewegungsstörungen bei Parkinson (Diplomarbeit) Betreuer: Barth, Jens; Eskofier, Björn; Klucken

Recent Publications

Hornegger, Joachim: 3D- und 4D-Rekonstruktion in der medizinischen Bildgebung (Talk) In: Geodätisches Kolloquium WS 2011/12

Cooperations

LME-News

Bayerische Forschungsstiftung fördert Projekt mit LME-Beteiligung Knapp 440.000 Euro aus Mitteln der Bayerischen Forschungsstiftung erhält das Projekt „eGaIT“ (embedded Gait Analysis using Intelligent Technology), mit dem Krankheiten wie Parkinson frühzeitig erkannt werden sollen. Durch weitere Gelder aus der Industrie wird es insgesamt mit rund einer Million Euro...

Metrilus released the first common and unified 3-D camera SDK for .NET MetriCam is the first common and unified real-time 3-D camera SDK for .NET. It supports all major Time-of-Flight cameras from Fotonic, Mesa Imaging and PMD Technologies. Furthermore, MetriCam also includes support for popular PrimeSense sensors like Kinect and Xtion Pro*. The SDK is ...

Best Paper Award at SLaTE

This year, the speech group of Prof. Elmar Nöth won the award for best paper at the ISCA International Workshop on Speech and Language Technology in Education (SLaTE), Venice, Italy 24-26 August 2011. The paper "How Many Labellers Revisited - Naives, Experts, and Real Experts"[http://ww...

Explius und IETEC präsentieren erstmals Fußscanner iScan 3Dp auf Messe

Der von der Explius GmbH (http://www.explius.de) und IETEC Biomechanical Solutions (http://www.biomechanicalsolutions.de/) entwickelte 3D Fußscanner iScan 3Dp wurde auf der "1. Orthopädie Schuh Technik" Messe in Wiesbaden erstmals der Öffentlichkeit präsentiert. Durch seine einmaligen...

Project work of PRL-seminar accepted for publication at ICCV workshop

A scientific contribution by PRL students Dominik Neumann and Felix Lugauer, titled "Real-time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover Data Structure", has been accepted for publication at the 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision (CD...

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Tired of doing research? Need a break? Need some good bavarian coffee? Check out the Bavarian Roasting Company and become a fan on Facebook.

Contact

Address

Pattern Recognition Lab

Computer Science Department 5

Medical Image Processing

Computer Vision

Speech Processing and Understanding

Digital Sports and Sportronics





Department of Computer Science 5 Our Team Research Publications Free Software Data Courses Curriculum Theses Press Releases Cooperations Open Positions LME Videos Ph.D. Gallery Contact Intranet Contact info@i5.cs.fau.de +49-9131-85-27775 +49-9131-303811 Address University of Erlangen-Nuremberg Lehrstuhl fuer Mustererkennung (Informatik 5) Martensstrasse 3 91058 Erlangen Germany Driving directions Powered by	Dept. of Computer Sc. » Pattern Recognition » Pattern Recognition Lab Computer Science Department 5 Researchers and students at Pattern Recognition Lab (LME) work on the development and implementation of algorithms to classify and analyze patterns like images or speech. The research is mostly interdisciplinary and is focussed on medical- and health engineering. The LME has close national and international collaborations with other universities, research institutes and industrial partners. A summary of the projects at the Pattern Recognition Lab is available for download as a comprehensive brochure (PDF). Research Areas Medical Image Processing The division medical image processing investigates problem statements in image fusion, reconstruction, segmentation and image analysis. Computer Vision The computer vision division treats the topics of reflectance analysis, forgery detection, driver assistance and optical surface measurements. Speech Processing and Understanding Apart from automatic feature extraction and subsequent speech recognition, our Chair deals with the following topics: spoken dialogue systems, recognition and processing of out-of-vocabulary words and automatic analysis and classification of prosodic phenomena and emotional, affective user states. Digital Sports and Sportronics Digital Sports is a new emerging field within computer science. We are about to develop novel digital support systems for top athletes in close collaboration with sports industry. Available Theses Analyse und Klassifikation von Bewegungsstörungen bei Parkinson (Diplomarbeit) Betreuer: Barth, Jens; Eskofier, Björn; Klucken Development of Methods for Averaging and Analysis of 3D Body Surface Data (Diplomarbeit) Betreuer: Eskofier, Björn; Hornegger, Joachim; Heiko Schlarb Vertebra Segmentation in CT Data (Diplomarbeit) Betreuer: Hornegger, Joachim; Voigt, Ingmar; Wels, Michael Automatic Evaluation of Stuttering Phenomena (Master Arbeit) Betreuer: Bocklet, Tobias; Haderlein, Tino; Nöth, Elmar Automatic Player Position Detection in Beach Volleyball (Master Arbeit) Betreuer: Eskofier, Björn; Linarth, Andre Guilherme; Daniel Link (TU München) Automatische Bewertung der Stimme nach Larynxteilresektion (Master Arbeit) Betreuer: Haderlein, Tino; Nöth, Elmar Design and Implementation of a Software Toolbox for Embedded Classification (Master Arbeit) Betreuer: Eskofier, Björn; Jensen, Ulf; Kugler, Patrick Recent Publications Hornegger, Joachim: 3D- und 4D-Rekonstruktion in der medizinischen Bildgebung (Talk) In: Geodätisches Kolloquium WS 2011/12 Scherl, Holger, Kowarschik, Markus, Hofmann, Hannes, Keck, Benjamin, Hornegger, Joachim: Evaluation of state-of-the-art hardware architectures for fast cone-beam CT reconstruction In: Parallel Computing Schouten, Martijn G., Bomers, Joyce G.R., Yakar, Derya, Huisman, Henkjan, Rothgang, Eva, Bosboom, Dennis, Scheenen, Tom W.J., Misra, Sarthak, Fütterer, Jurgen J.: Evaluation of a robotic technique for transrectal MRI-guided prostate biopsies In: European Radiology Placht, Simon, Stancanello, Joseph, Schaller, Christian, Balda, Michael, Angelopoulou, Elli: Fast time-of-flight camera based surface registration for radiotherapy patient positioning In: Medical Physics Jensen, Ulf: Functional Movement Screen (Talk) In: Bericht über Forschungskooperation Ionasec, Razvan, Vitanovski, Dime, Comaniciu, Dorin: Morphological and Functional Modeling of the Heart Valves and Chambers In: Patient-Specific Modeling in Tomorrow's Medicine Schuldhaus, Dominik, Spiegel, Martin, Redel, Thomas, Polyanskaya, Maria, Struffert, Tobias, Hornegger, Joachim, Dörfler, Arnd: 2D Vessel Segmentation Using Local Adaptive Contrast Enhancement In: Bildverarbeitung für die Medizin Hornegger, Joachim: 3-D Endoscopy (Talk) In: 41. Kongress der Deutschen Gesellschaft für Endoskopie und Bildgebende Verfahren (DGE-BV) Bourier, Felix, Heißenhuber, Frank, Schneider, Hans-Jürgen, Ganslmeier, Patrycja, Fischer, Robert, Brost, Alexander, Koch, Martin, Strobel, Norbert, Hornegger, Joachim, Kurzidim, Klaus: 3D-Funktionalität und Navigation durch einen Siemens-Prototypen in der biplanen Fluoroskopie zur Pulmonalvenenisolation In: 77. Jahrestagung Lauritsch, Günter, Rohkohl, Christopher, Hornegger, Joachim, Sinha, Anil-Martin, Brachmann, Johannes, Rittger, Harald, Rieber, Johannes: 3D imaging of myocardial perfusion and coronary tree morphology from a single rotational angiogram In: Proc. SPIE 7964 Cooperations LME-News Bayerische Forschungsstiftung fördert Projekt mit LME-Beteiligung Knapp 440.000 Euro aus Mitteln der Bayerischen Forschungsstiftung erhält das Projekt „eGaIT“ (embedded Gait Analysis using Intelligent Technology), mit dem Krankheiten wie Parkinson frühzeitig erkannt werden sollen. Durch weitere Gelder aus der Industrie wird es insgesamt mit rund einer Million Euro... Metrilus released the first common and unified 3-D camera SDK for .NET MetriCam is the first common and unified real-time 3-D camera SDK for .NET. It supports all major Time-of-Flight cameras from Fotonic, Mesa Imaging and PMD Technologies. Furthermore, MetriCam also includes support for popular PrimeSense sensors like Kinect and Xtion Pro*. The SDK is ... Best Paper Award at SLaTE This year, the speech group of Prof. Elmar Nöth won the award for best paper at the ISCA International Workshop on Speech and Language Technology in Education (SLaTE), Venice, Italy 24-26 August 2011. The paper "How Many Labellers Revisited - Naives, Experts, and Real Experts"[http://ww... Explius und IETEC präsentieren erstmals Fußscanner iScan 3Dp auf Messe Der von der Explius GmbH (http://www.explius.de) und IETEC Biomechanical Solutions (http://www.biomechanicalsolutions.de/) entwickelte 3D Fußscanner iScan 3Dp wurde auf der "1. Orthopädie Schuh Technik" Messe in Wiesbaden erstmals der Öffentlichkeit präsentiert. Durch seine einmaligen... Project work of PRL-seminar accepted for publication at ICCV workshop A scientific contribution by PRL students Dominik Neumann and Felix Lugauer, titled "Real-time RGB-D Mapping and 3-D Modeling on the GPU using the Random Ball Cover Data Structure", has been accepted for publication at the 1st IEEE Workshop on Consumer Depth Cameras for Computer Vision (CD... << First < Previous 1-5 6-10 11-15 16-20 21-25 26-30 31-35 Next > Last >> Tired of doing research? Need a break? Need some good bavarian coffee? Check out the Bavarian Roasting Company and become a fan on Facebook.