Imaging Systems and Applications
Events
Imaging Systems and Applications
24 June 2019 – 27 June 2019 Messe München, Munich`, Germany
IS brings together experts from many different scientific and engineering disciplines who contribute to the design and integration of optics, sensors, digital processing and displays in imaging systems. IS captures the state-of-the-art in unique light gathering optics, image sensor architectures and technology, on and off chip digital image processing, and methods for compression, storage, transmission, and utilization.
The meeting highlights the leading-edge use of imaging systems in consumer imaging, automotive and drone imaging, photography and digital cinematography capture and projection, remote sensing, microscopy, invasive and non-invasive surgery, and airborne and astronomical observations and imaging.
Topics
- Advances in Microscopic Imaging
- Imaging for Autonomous Vehicles
- New concepts in Biomedical Imaging
- Imaging sensors for mobile computing and AR/VR Applications
- Spectral Imaging Systems
- Novel Imaging Optics
- Neuromorphic and Asynchronous Imaging Systems
Speakers
- Nicolo Accantro, Universite Paris Descartes, France
Optogenetics and Optical Brain Imaging and Manipulation - Ryad Benosman, University of Pittsburgh, France
Event based Sensing: Low Cost Super High Temporal Resolution Machine Vision - Oliver Bimber, Johannes Kepler Universität Linz, Austria
A 1mm Thin-Film Short-Distance Optical Sensor - Emmanuel Bossy, Institut Laue-Langevin, France
Ultrasound-assisted optical imaging - Greg Cohen, Western Sydney University, Australia
Neuromorphic Vision Systems: Event-based Imaging and Processing - Angela Cortes, Max-Planck-Gesellschaft, Germany
ERIS - high contrast imaging and spectroscopy for infrared astronomy - Tobi Delbruck, Universitat Zurich, Switzerland
Event Cameras for Quicker and Cheaper Machine Vision - Michelle Digman, University of California Irvine, United States
The phasor approach to FLIM And hyperspectral imaging for predicting embryo health - Arnaud Dubois, Institut d'Optique, France
High-Resolution Optical Coherence Tomography. Application in Dermatology - Pietro Ferraro, Istituto Nazionale di Ottica, Italy
Holographic Imaging for 3D Visualization and Metrology of Liquid Bubbles - Steve Fisken, Cylite, Australia
Defying the Raleigh range - Hyperparallel Optical Coherence Tomography in-vivo metrology and imaging - Ying Geng, Oculus VR LLC, United States
Optics for VR - Atanas Gotchev, Tampereen Teknillinen Yliopisto, Finland
Computational 3D Imaging with Diffractive Optical Elements - Hong Hua, University of Arizona, United States
Optical Challenges for Scaling AR/VR Displays - Elsa Huby, Observatoire de Paris, France
Instrumentation for Direct Imaging of Exoplanets - Bahram Javidi, University of Connecticut, United States
Multidimensional Integral Imaging for Sensing, Visualization, and Recognition in Degraded Environments - Rainer Leitgeb, Medizinische Universität Wien, Austria
Digital Wavefront Control in OCT - Abhijit Mahalanobis, Lockheed Martin Corporation, United States
An overview of some techniques for the detection and recognition of objects in 3D data - Manuel Martinez-Corral, Universitat de Valencia, Spain
Fundamentals of macroscopic and microscopic plenoptic imaging and display systems - Marek R. Ogiela, Akademia Górniczo-Hutnicza, Poland
Cognitive vision systems in security and cryptography - Aydogan Ozcan, University of California Los Angeles, United States
Deep Learning in Optical Microscopy and Image Reconstruction - Giancarlo Pedrini, Universität Stuttgart, Germany
Digital Holography for Shape and Deformation Measurements Under Extreme Environmental Condition - Monika Ritsch-Marte, Innsbruck Medical University, Austria
Multicolour wavefront shaping for imaging applications - Enrique Tajahuerce, Universitat Jaume I, Spain
Recent Advances on 3D Imaging with Single Pixel Detectors - Gordon Wetzstein, Stanford University, United States
Computational Single-photon Imaging
Committee
- Michael Groenert, US Army RDECOM CERDEC, United States , General Chair
- Kristina Irsch, Johns Hopkins University & Sorbonne Univ, United States , General Chair
- Kevin Gemp, MITRE Corp, United States , Program Chair
- Maitreyee Roy, University of New South Wales, Australia , Program Chair
- Matthew Arnison, Canon Info. Sys. Research Australia, Australia
- Kenneth Barnard, US Air Force Research Laboratory, United States
- Peter Catrysse, Stanford University, United States
- Christopher Dainty, FotoNation, Ireland
- Aristide Dogariu, University of Central Florida, CREOL, United States
- Boyd Fowler, Omnivision Technologies, United States
- Ginni Grover, Intel Corporation, United States
- Francisco Imai, Apple Inc., United States
- Chulmin Joo, Yonsei University, South Korea
- Ofer Levi, University of Toronto, Canada
- Dale Linne von Berg, US Naval Research Laboratory, United States
- Rajesh Menon, University of Utah, United States
- Lise Randeberg, Norges Teknisk Naturvitenskapelige Univ, Norway
- Todd Sachs, Apple Inc., United States
- Casey Streuber, Raytheon Missile Systems, United States
- Jay Vizgaitis, optX imaging systems
- Laura Waller, University of California Berkeley, United States
- Zeev Zalevsky, Bar-Ilan University, Israel
Plenary Session
Domenico Bonaccini Calia
European Southern Observatory, Germany
The Ongoing Adaptive Optics Revolution
Adaptive Optics enhances the performance of imaging systems down to the diffraction limit and more in general can flatten the wavefronts in optical systems in real time. It is a technology now increasingly used in astrophysics, ophthalmology, microscopy, beam shaping of high power lasers for industry, beam pre-shaping for large baseline interferometry, precision microelectronics fabrication, satellite free space optical communications, quantum computing, to name a few. Adaptive Optics technologies are very lively transforming and on the move.
We will review together the status of Adaptive Optics Technologies. Some of the most beautiful technological and application achievements will be shown, including recent developments obtained observing our Universe, with novel Laser Guide Star Adaptive Optics installations at the largest, more remote astrophysical observatories in the world.
About the Speaker
Domenico Bonaccini Calia has been working as a physicist at the European Southern Observatory (www.eso.org) for over 24 years, where he currently has an international member staff position.
He obtained his Masters in physics at the University of Florence, Italy, then completed a PhD in astrophysics, and a postdoc period at the Sac Peak National Solar Observatory in New Mexico, USA. On his return to Italy, Domenico held for 8 years a staff position at the Arcetri Astrophysical Observatory, in Florence, where he formed the adaptive optics group in 1990, before moving to ESO, Germany, in 1995.
At ESO he worked in the adaptive optics group and in 2000 he has formed the Laser Guide Star Systems Department, serving as Head of Department until 2010. He has contributed to two laser guide star facilities now installed on the ESO Very Large Telescopes in Chile, is supporting the ESO ELT activities for the new design of its six laser guide star units, and is currently responsible for the laser guide star systems research and development activities at ESO, under the Technology Development program.
D. Bonaccini Calia received the innovation award from the german Leibinger Stiftung in 2016, became a Fellow of The Optical Society in 2018 for its contribution to the progress of photonics in astronomical instrumentation, shared the 2018 Paul F. Forman Team Engineering Excellence Award and as been inventor in 4 different patents related to wavefront correctors and novel laser systems.
Dongheui Lee
Technical University of Munich (TUM), Germany
Robot learning from Human Guidance
As a fundamental cornerstone in the development of intelligent robotic assistants, the research community on robot learning has addressed autonomous motor skill learning and control in complex task scenarios. Imitation learning provides an efficient way to learn new skills through human guidance, which can reduce time and cost to program the robot. Robot learning architectures can provide a comprehensive framework for learning, recognition and reproduction of whole body motions.
About the Speaker
Dongheui Lee is Associate Professor of Human-centered Assistive Robotics at the TUM Department of Electrical and Computer Engineering. She is also director of a Human-centered assistive robotics group at the German Aerospace Center (DLR). Her research interests include human motion understanding, human robot interaction, machine learning in robotics, and assistive robotics.
Previously, she was an Assistant Professor at TUM (2009-2017), Project Assistant Professor at the University of Tokyo (2007-2009), and a research scientist at the Korea Institute of Science and Technology (KIST) (2001-2004). She obtained a PhD degree from the department of Mechano-Informatics, University of Tokyo, Japan in 2007. She was awarded a Carl von Linde Fellowship at the TUM Institute for Advanced Study (2011) and a Helmholtz professorship prize (2015).
