Proceedings Of The 2016 Joint Workshop Of Fraunhofer Iosb And Institute For Anthropomatics Vision And Fusion Laboratory
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Author |
: Pak, Alexey |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 152 |
Release |
: 2017-07-25 |
ISBN-10 |
: 9783731506782 |
ISBN-13 |
: 3731506785 |
Rating |
: 4/5 (82 Downloads) |
Synopsis Proceedings of the 2016 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Pak, Alexey
Author |
: Beyerer, Jürgen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 170 |
Release |
: 2020-10-23 |
ISBN-10 |
: 9783731510284 |
ISBN-13 |
: 3731510286 |
Rating |
: 4/5 (84 Downloads) |
Synopsis Proceedings of the 2019 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen
In 2019 fand wieder der jährliche Workshop des Fraunhofer IOSB und des Lehrstuhls für Interaktive Echtzeitsysteme des Karlsruher Insitut für Technologie statt. Die Doktoranden beider Institutionen präsentierten den Fortschritt ihrer Forschung in den Themen Maschinelles Lernen, Machine Vision, Messtechnik, Netzwerksicherheit und Usage Control. Die Ideen dieses Workshops sind in diesem Buch gesammelt in der Form technischer Berichte. - In 2019 again, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the Karlsruhe Institute of Technology took place. The doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book in the form of technical reports.
Author |
: Beyerer, Jürgen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 140 |
Release |
: 2023-07-05 |
ISBN-10 |
: 9783731513049 |
ISBN-13 |
: 3731513048 |
Rating |
: 4/5 (49 Downloads) |
Synopsis Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen
In August 2022, Fraunhofer IOSB and IES of KIT held a joint workshop in a Schwarzwaldhaus near Triberg. Doctoral students presented research reports and discussed various topics like computer vision, optical metrology, network security, usage control, and machine learning. This book compiles the workshop's results and ideas, offering a comprehensive overview of the research program of IES and Fraunhofer IOSB.
Author |
: Beyerer, Jürgen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 242 |
Release |
: 2022-07-05 |
ISBN-10 |
: 9783731511717 |
ISBN-13 |
: 3731511711 |
Rating |
: 4/5 (17 Downloads) |
Synopsis Proceedings of the 2021 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen
2021, the annual joint workshop of the Fraunhofer IOSB and KIT IES was hosted at the IOSB in Karlsruhe. For a week from the 2nd to the 6th July the doctoral students extensive reports on the status of their research. The results and ideas presented at the workshop are collected in this book in the form of detailed technical reports.
Author |
: Beyerer, Jürgen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 192 |
Release |
: 2021-06-22 |
ISBN-10 |
: 9783731510918 |
ISBN-13 |
: 373151091X |
Rating |
: 4/5 (18 Downloads) |
Synopsis Proceedings of the 2020 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen
In 2020 fand der jährliche Workshop des Faunhofer IOSB und the Lehrstuhls für interaktive Echtzeitsysteme statt. Vom 27. bis zum 31. Juli trugen die Doktorranden der beiden Institute über den Stand ihrer Forschung vor in Themen wie KI, maschinellen Lernen, computer vision, usage control, Metrologie vor. Die Ergebnisse dieser Vorträge sind in diesem Band als technische Berichte gesammelt. - In 2020, the annual joint workshop of the Fraunhofer IOSB and the Vision and Fusion Laboratory of the KIT was hosted at the IOSB in Karlsruhe. For a week from the 27th to the 31st July the doctoral students of both institutions presented extensive reports on the status of their research and discussed topics ranging from computer vision and optical metrology to network security, usage control and machine learning. The results and ideas presented at the workshop are collected in this book.
Author |
: Beyerer, Juergen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 194 |
Release |
: 2016-07-15 |
ISBN-10 |
: 9783731505198 |
ISBN-13 |
: 3731505193 |
Rating |
: 4/5 (98 Downloads) |
Synopsis Proceedings of the 2015 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Juergen
Author |
: Mohammadikaji, Mahsa |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 238 |
Release |
: 2020-06-22 |
ISBN-10 |
: 9783731509899 |
ISBN-13 |
: 373150989X |
Rating |
: 4/5 (99 Downloads) |
Synopsis Simulation-based Planning of Machine Vision Inspection Systems with an Application to Laser Triangulation by : Mohammadikaji, Mahsa
Author |
: Beyerer, Juergen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 115 |
Release |
: 2018-08-13 |
ISBN-10 |
: 9783731507796 |
ISBN-13 |
: 373150779X |
Rating |
: 4/5 (96 Downloads) |
Synopsis Proceedings of the 2017 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Juergen
Author |
: Beyerer, Jürgen |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 136 |
Release |
: 2019-07-12 |
ISBN-10 |
: 9783731509363 |
ISBN-13 |
: 3731509369 |
Rating |
: 4/5 (63 Downloads) |
Synopsis Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory by : Beyerer, Jürgen
Author |
: Becker, Stefan |
Publisher |
: KIT Scientific Publishing |
Total Pages |
: 228 |
Release |
: 2020-12-02 |
ISBN-10 |
: 9783731510383 |
ISBN-13 |
: 3731510383 |
Rating |
: 4/5 (83 Downloads) |
Synopsis Dynamic Switching State Systems for Visual Tracking by : Becker, Stefan
This work addresses the problem of how to capture the dynamics of maneuvering objects for visual tracking. Towards this end, the perspective of recursive Bayesian filters and the perspective of deep learning approaches for state estimation are considered and their functional viewpoints are brought together.