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

Short Courses
11-14 Jan
Symposium begins
17 Jan
All proceedings manuscripts due
31 Jan

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Intelligent Robotics and Industrial Applications using Computer Vision 2022

  • Below is the the program in San Francisco time.
  • Talks are to be presented live during the times noted and will be recorded. The recordings may be viewed at your convenience, as often as you like, until 15 May 2022.

Monday 17 January 2022

IS&T Welcome & PLENARY: Quanta Image Sensors: Counting Photons Is the New Game in Town

07:00 – 08:10

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, Dartmouth College (United States)

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.

08:10 – 08:40 EI 2022 Welcome Reception

Wednesday 19 January 2022

IS&T Awards & PLENARY: In situ Mobility for Planetary Exploration: Progress and Challenges

07:00 – 08:15

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, Jet Propulsion Laboratory (United States)

Larry Matthies received his PhD in computer science from Carnegie Mellon University (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.

EI 2022 Interactive Poster Session

08:20 – 09:20
EI Symposium

Poster interactive session for all conferences authors and attendees.

Thursday 20 January 2022

Materials Classification

Session Chair: Juha Röning, University of Oulu (Finland)
07:00 – 08:05
Blue Room

Conference Introduction

Deep learning based wheat ears count in robot images for wheat phenotyping, Ehsan Ullah, Mohib Ullah, Muhammad Sajjad, and Faouzi Alaya Cheikh, Norwegian University of Science and Technology (Norway) [view abstract]


Incremental two-network approach to develop a purity analyzer system for canola seeds, Kuldeep Singh, Fernando Saccon, and Dileepan Joseph, University of Alberta (Canada) [view abstract]


Instance segmentation for characterization of satellites on additive manufacturing feedstock powders [PRESENTATION-ONLY], Ryan Cohn and Elizabeth Holm, Carnegie Mellon University (United States) [view abstract]


Active Learning -- Multi-target Tracking -- Model Learning Capabilities

Session Chair: Kurt Niel, University of Applied Sciences Upper Austria (Austria)
08:30 – 09:30
Blue Room

Quantitative analysis of deep learning based multi-target tracking algorithms, Sanam Nisar Mangi, Mohib Ullah, and Faouzi Alaya Cheikh, Norwegian University of Science and Technology (Norway) [view abstract]


Leveraging gradient weighted class activation mapping to improve classification effectiveness: Case study in transportation infrastructure characterization, Thomas P. Karnowski, Deniz Aykac, Regina K. Ferrell, Christy Gambrell, Zach Langford, and Lauren Torkelson, Oak Ridge National Laboratory (United States) [view abstract]


Deep learning-based multiple animal pose estimation, Brage Arnkværn, Sigurd Schoeler, Mohib Ullah, and Faouzi Alaya Cheikh, Norwegian University of Science and Technology (Norway) [view abstract]


Earth Imaging

Session Chair: Henry Ngan, ENPS Hong Kong (Hong Kong)
16:15 – 16:55
Red Room

Efficient landslide detection by UAV-based multi-temporal visual analysis, Yosuke Yamaguchi1, Kai Matsui1, Jun Ohya1, Katsuya Hasegawa2, and Hiroshi Nagahashi3; 1Waseda University, 2Japan Aerospace Exploration Agency, Institute of Space and Astronautical Science, and 3Tokyo Institute of Technology (Japan) [view abstract]


Detecting falling rocks by estimating excavation points using single color markers, Rei Kobayashi1, Yoshihiro Sato1, Masaya Miura2, Yuto Osada1, and Yue Bao1; 1Tokyo City University and 2Tokyu Construction Co., Ltd. (Japan) [view abstract]


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