IMPORTANT DATES

2023
Journal-first (JIST/JPI) Submissions

∙ Journal-first (JIST/JPI) Submissions Due 31 July
∙ Final Journal-first manuscripts due 31 Oct
Conference Papers Submissions
∙ Late Submission Deadline
15 Oct
∙ FastTrack Proceedings Manuscripts Due 8 Jan 2024
∙ All Outstanding Manuscripts Due 15 Feb 2024
Registration Opens mid-Oct
Demonstration Applications Due 21 Dec
Early Registration Ends 18 Dec


2024
Hotel Reservation Deadline 10 Jan
Symposium Begins
21 Jan
Non-FastTrack Proceedings Manuscripts Due
15 Feb


IMPORTANT DATES

2021
Journal-first submissions deadline
8 Aug
Priority submissions deadline 30 Jul
Final abstract submissions deadline 15 Oct
Manuscripts due for FastTrack publication
30 Nov

 
Early registration ends 31 Dec


2022
Short Courses
11-14 Jan
Symposium begins
17 Jan
All proceedings manuscripts due
31 Jan
EI2022 SYMPOSIUM SPONSORS
Bronze Level



CONFERENCE SPONSORS
 



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EI2022 PLENARY SESSIONS

Monday 17 January Plenary

Monday 17 January 07:00 San Francisco, 10:00 New York and 16:00 Paris,  Tuesday 18 January 00:00 Tokyo

Quanta Image Sensors: Counting Photons Is the New Game in Town
Speaker: Eric R. Fossum, Professor, Dartmouth Engineering, Dartmouth College

Eric R. Fossum

The Quanta Image Sensor (QIS) was conceived as a different image sensor—one that counts photoelectrons one at a time using millions or billions of specialized pixels read out at high frame rate with computation imaging used to create gray scale images. QIS devices have been implemented in a CMOS image sensor (CIS) baseline room-temperature technology without using avalanche multiplication, and also with SPAD arrays. This plenary details the QIS concept, how it has been implemented in CIS and in SPADs, and what the major differences are. Applications that can be disrupted or enabled by this technology are also discussed, including smartphone, where CIS-QIS technology could even be employed in just a few years.

Eric R. Fossum is best known for the invention of the CMOS image sensor “camera-on-a-chip” used in billions of cameras. He is a solid-state image sensor device physicist and engineer, and his career has included academic and government research, and entrepreneurial leadership. At Dartmouth he is a professor of engineering and vice provost for entrepreneurship and technology transfer. Fossum received the 2017 Queen Elizabeth Prize from HRH Prince Charles, considered by many as the Nobel Prize of Engineering “for the creation of digital imaging sensors,” along with three others. He was inducted into the National Inventors Hall of Fame, and elected to the National Academy of Engineering among other honors including a recent Emmy Award. He has published more than 300 technical papers and holds more than 175 US patents. He co-founded several startups and co-founded the International Image Sensor Society (IISS), serving as its first president. He is a Fellow of IEEE and OSA.

Websites:
    www.ericfossum.com
    https://engineering.dartmouth.edu/community/faculty/eric-fossum


Wednesday 19 January Plenary

Wednesday 19 January 07:00 San Francisco, 10:00 New York and 16:00 Paris,  Thursday 20 January 00:00 Tokyo

In situ Mobility for Planetary Exploration: Progress and Challenges
Speaker: Larry Matthies, Technology Coordinator, Mars Exploration Program, Jet Propulsion Laboratory (JPL), California Institute of Technology

Larry Matthies

This year saw exciting milestones in planetary exploration with the successful landing of the Perseverance Mars rover, followed by its operation and the successful technology demonstration of the Ingenuity helicopter, the first heavier-than-air aircraft ever to fly on another planetary body. This plenary highlights new technologies used in this mission, including precision landing for Perseverance, a vision coprocessor, new algorithms for faster rover traverse, and the ingredients of the helicopter. It concludes with a survey of challenges for future planetary mobility systems, particularly for Mars, Earth’s moon, and Saturn’s moon, Titan.

Larry Matthies received his PhD in computer science from Carnegie Mellon University in 1989, before joining JPL, where he has supervised the Computer Vision Group for 21 years, the past two coordinating internal technology investments in the Mars office. His research interests include 3-D perception, state estimation, terrain classification, and dynamic scene analysis for autonomous navigation of unmanned vehicles on Earth and in space. He has been a principal investigator in many programs involving robot vision and has initiated new technology developments that impacted every US Mars surface mission since 1997, including visual navigation algorithms for rovers, map matching algorithms for precision landers, and autonomous navigation hardware and software architectures for rotorcraft. He is a Fellow of the IEEE and was a joint winner in 2008 of the IEEE’s Robotics and Automation Award for his contributions to robotic space exploration.


Tuesday 25 January Plenary + Panel Discussion
A 75th Year Event: Celebrating 75 years of IS&T

Tuesday 25 January 07:00 San Francisco, 10:00 New York and 16:00 Paris,  Wednesday 26 January 00:00 Tokyo

Physics-based Image Systems Simulation
Speaker: Joyce Farrell, Executive Director, Stanford Center for Image Systems Engineering, Stanford University, CEO and Co-founder, ImagEval Consulting

Joyce Farrell

Three quarters of a century ago, visionaries in academia and industry saw the need for a new field called photographic engineering and formed what would become the Society for Imaging Science and Technology (IS&T). Thirty-five years ago, IS&T recognized the massive transition from analog to digital imaging and created the Symposium on Electronic Imaging (EI). IS&T and EI continue to evolve by cross-pollinating electronic imaging in the fields of computer graphics, computer vision, machine learning, and visual perception, among others. This talk describes open-source software and applications that build on this vision. The software combines quantitative computer graphics with models of optics and image sensors to generate physically accurate synthetic image data for devices that are being prototyped. These simulations can be a powerful tool in the design and evaluation of novel imaging systems, as well as for the production of synthetic data for machine learning applications.

Joyce Farrell is a senior research associate and lecturer in the Stanford School of Engineering and the executive director of the Stanford Center for Image Systems Engineering (SCIEN). Joyce received her BS from the University of California at San Diego and her PhD from Stanford University. She was a postdoctoral fellow at NASA Ames Research Center, New York University, and Xerox PARC, before joining the research staff at Hewlett Packard in 1985. In 2000 Joyce joined Shutterfly, a startup company specializing in online digital photofinishing, and in 2001 she formed ImagEval Consulting, LLC, a company specializing in the development of software and design tools for image systems simulation. In 2003, Joyce returned to Stanford University to develop the SCIEN Industry Affiliates Program.


The Brave New World of Virtual Reality: A Panel Discussion

Advances in electronic imaging, computer graphics, and machine learning have made it possible to create photorealistic images and videos. In the future, one can imagine that it will be possible to create a virtual reality that is indistinguishable from real-world experiences. This panel discusses the benefits of this brave new world of virtual reality and how we can mitigate the risks that it poses. 

The goal of the panel discussion is to showcase state-of-the art synthetic imagery, learn how this progress benefits society, and discuss how we can mitigate the risks that the technology also poses. After brief demos of the state-of-their-art, the panelists will discuss

Moderated by: Joyce Farrell

Confirmed Panelists:
    Matthias Neissner, professor, Technical University of Munich, on creating photorealistic avatars.
    Paul Debevec, director of research, creative algorithms and technology at Netflix, on Project Shoah
    Hany Farid, professor, University of California, Berkeley, on digital forensics

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