Výsledky vyhledávání - "Ulrich Klauck"

Deep Fusion of Appearance and Frame Differencing for Motion Segmentation

Autor: Ulrich Klauck, Michael Teutsch, Marc Ellenfeld, Ruben Cardenes, Sebastian Moosbauer

Publikováno v: CVPR Workshops

Motion segmentation is a technique to detect and localize class-agnostic motion in videos. This motion is assumed to be relative to a stationary background and usually originates from objects such as vehicles or humans. When the camera moves, too, fr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1ca2f0da8f93f1f4bea8be3b5531c0ff
https://doi.org/10.1109/cvprw53098.2021.00490

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2D vs. 3D U-Net abdominal organ segmentation in CT data using organ bounds

Autor: Ulrich Klauck, Timo Ropinski, Daria Kern, Andre Mastmeyer

Publikováno v: Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications.

We compare axial 2D U-Nets and their 3D counterparts for pixel/voxel-based segmentation of five abdominal organs in CT scans. For each organ, two competing CNNs are trained. They are evaluated by performing five-fold cross-validation on 80 3D images.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::22c88a14768e806ddda71fe3d4b4cb99
https://doi.org/10.1117/12.2576168

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Archiving 4.0: Application of Image Processing and Machine Learning for the Robben Island Mayibuye Archives

Autor: Ulrich Klauck, Manuel Zweng, Stanley Sello, Antoine Bagula, Daria Kern

Publikováno v: 2020 International SAUPEC/RobMech/PRASA Conference.

Image processing is becoming one of the key technologies of the fourth industrial revolution (4IR) which provides different ways of detecting and recognizing faces, persons and other objects in an image. This can benefit large archives with historica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c61eb53d4cae4979949db5565a0d903e
https://doi.org/10.1109/saupec/robmech/prasa48453.2020.9041115

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Generalization ability of region proposal networks for multispectral person detection

Autor: Ulrich Klauck, Michael Teutsch, Kevin Fritz, Daniel Konig

Multispectral person detection aims at automatically localizing humans in images that consist of multiple spectral bands. Usually, the visual-optical (VIS) and the thermal infrared (IR) spectra are combined to achieve higher robustness for person det

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::100170fa66f3b0be8276c3e382a4148d
http://arxiv.org/abs/1905.02758

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Keynote Speakers: Machine learning — A key enabling technology for future development

Autor: Ulrich Klauck

Publikováno v: 2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech).

In recent studies Machine Learning is regarded to be one of the disruptive technologies that will transform our future life, business and the global economy. In their 2013 study McKinsey identified 12 technology areas with the potential of a high imp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d6b7e7906aecec8ce10fc58fce1e60c0
https://doi.org/10.1109/robomech.2017.8261102

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Bildanalyse komplexer Werkstoffgefüge durch Texturanalyse und Korrelation mit den Eigenschaften durch neuronale Netze

Autor: Alexander Fuchs, Timo Bernthaler, Brigitte Stahl, Ulrich Klauck, Bernd Reinsch, Gerhard Schneider

Publikováno v: International Journal of Materials Research. 92:979-985

Mit der quantitativen Gefügeanalyse lassen sich aus dem Gefüge quantitativ Rückschlüsse auf die mechanischen Eigenschaften ziehen. Bei feinen und kontrastarmen Gefügen, z.B. von gehärteten Stählen, muss für die Quantifizierung auf die Mustere

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3e4fbc37c074a01b383d3f7d0fc0e118
https://doi.org/10.1515/ijmr-2001-0176

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Mustererkennung in der quantitativen Gefügeanalyse am Beispiel von Stahlgefügen / Textural Identification in the Quantitative Analysis of Steel Microstructures

Autor: Ulrich Klauck, Timo Bernthaler, Jochen Schmid, Gerhard Schneider, Hujie Zhao, Brigitte Stahl, Jochen Theuer

Publikováno v: Practical Metallography. 38:189-196

Computer aided quantitative microstructural analysis is becoming increasingly more significant in the field of metallography. One particular problem of the technique is the identification of individual microstructural constituents which differ in the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9a6062153e2ba0a87a7234a88298d337
https://doi.org/10.1515/pm-2001-380404

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Confidence Measurements for Adaptive Bayes Decision Classifier Cascades and Their Application to US Speed Limit Detection

Autor: Ulrich Kresel, Frank Lindner, Christian Wöhler, Armin Staudenmaier, Ulrich Klauck

Publikováno v: Lecture Notes in Computer Science ISBN: 9783642327162
DAGM/OAGM Symposium

This article presents an adaptive Bayes model for the decision logic of cascade classifier structures. The proposed method is fast and robust with respect to multimodal and overlapping distributions and can be applied to arbitrary stage classifiers w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d5333ed3b9af324180aad321f92b3a74
https://doi.org/10.1007/978-3-642-32717-9_48

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