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Computational Optical Sensing and Imaging (COSI)

Computational Optical Sensing and Imaging (COSI)

15-19, July 2024
Toulouse, France 

Computational sensing and imaging are processes that tightly combine optics, sensing and processing to acquire task relevant information.

They use the strong coupling with computation to provide an operational capability that is impossible to realize using conventional means, that addresses a dimensionality mismatch or that reduces the cost of making measurements compared with conventional means. 

COSI showcases the latest innovations in computational sensing and imaging, emphasizing synergistic activities in optics, detectors and signal processing, including machine learning. The topical meeting is looking for submissions spanning topics that range from theoretical advances to application of computational sensing and imaging in medicine, defense and industry.


 

Chairs

 
Liang Gao

University of California Los Angeles, United States,
General Chair

Seung Ah Lee

Yonsei University, Republic Of Korea,
General Chair

Ashley Lyons

University of Glasgow, United Kingdom,
General Chair

Chris Metzler

University of Maryland at College Park, United States,
Program Chair

Guohai Situ

Shanghai Inst. Laser Tech., China,
Program Chair

Esteban Vera

Pontificia Univ Catolica de Valparaiso, Chile,
Program Chair


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Committee Members

  • Liang Gao, University of California Los Angeles, United States, General Chair
  • Seung Ah Lee, Yonsei University, Republic Of Korea, General Chair
  • Ashley Lyons, University of Glasgow, United Kingdom, General Chair
  • Chris Metzler, University of Maryland at College Park, United States, Program Chair
  • Guohai Situ, Shanghai Inst. Laser Tech., China, Program Chair
  • Esteban Vera, Pontificia Univ Catolica de Valparaiso, Chile, Program Chair
  • Emma Alexander, Northwestern University, United States
  • Julia Alonso, Universidad de la República, Uruguay
  • David Brady, University of Arizona, United States
  • Qing Chao, University of Washington, United States
  • Andrew Harvey, University of Glasgow, United Kingdom
  • Wolfgang Heidrich, King Abdullah Univ of Sci & Technology, Saudi Arabia
  • Ryoichi Horisaki, University of Tokyo, Japan
  • Roarke Horstmeyer, Duke University, United States
  • Mooseok Jang, Korea Advanced Inst of Science & Tech, Republic Of Korea
  • Edmund Lam, University of Hong Kong, Hong Kong
  • Lei Li, Rice University, United States
  • Andrew Maiden, University of Sheffield, United Kingdom
  • Rajesh Menon, University of Utah, United States
  • John Murray-Bruce, University of South Florida, United States
  • Ioannis Papadopoulos, National Technical University of Athens, Greece
  • Chrysanthe Preza, University of Memphis, United States
  • Jan Rothhardt, Friedrich-Schiller-Universität Jena, Germany
  • Giuliano Scarcelli, University of Maryland at College Park, United States
  • Paulo Silveira, Occipital Inc, United States
  • Maciej Trusiak, Politechnika Warszawska, Poland
  • Abbie Watnik, US Naval Research Laboratory, United States
  • Jiamin Wu, Tsinghua University, China
  • Zeev Zalevsky, Bar-Ilan University, Israel
  • Guoan Zheng, University of Connecticut, United States
  • Kevin Zhou, University of Michigan, United States
  • Chao Zuo, Nanjing Univ of Science and Technology, China

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Topic Categories

 
Computational Optical Sensing and Imaging (COSI)

Computational sensing and imaging are processes that tightly combine optics, sensing, and processing to acquire task relevant information. 

​Popular Topics (in alphabetical order)

  1. Applications of Computational Sensing and Imaging
  2. Compressive Sensing
  3. Computational Adaptive Optics
  4. Computational Imaging for Point-of-Care Applications
  5. Computational Microscopy (including Ptychography), Digital Holographic Microscopy
  6. Computational Spectroscopy and Spectral Imaging
  7. Computational Techniques for Imaging through Scattering and Turbid Media
  8. Computational Techniques for Super-Resolution Imaging
  9. Differentiable Optics (and its Applications to Wave Propagation and Optical Design)
  10. Fundamental Limits of Computational Optical Sensing and Imaging
  11. Inverse Problems in Imaging
  12. Joint Design Examples
  13. Lensless Imaging, Coherent Diffraction Imaging
  14. Multiple Aperture and Coded Aperture Imaging
  15. Novel Applications of Holography
  16. Phase Retrieval and its Applications
  17. SAR, InSAR, Terahertz- and mm-Wave Imaging
  18. Sparse Imaging
  19. Tomographic Imaging
  20. Topics in 3D Imaging (Structured Illumination, ToF Sensing, LiDAR, Light Fields)
  21. Unconventional Imaging Modalities (Intensity Interferometry, Ghost Imaging and Mutual Intensity Imaging)

Topics of Special Interest (in alphabetical order)

  1. Computer Generated Holography and Computational Displays for AR/VR 
  2. Event-Driven Computational Imaging using Neuromorphic Sensors 
  3. Non-Line-of-Sight Imaging 
  4. Physics Aware Deep Learning as Applied to Computational Sensing
  5. Quantum Imaging
  6. Single-Photon Imaging

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Plenary Speakers

 

Grace Kuo

Reality Labs Research at Meta, USA

Holographic Displays: Past, Present and Future

Holograms have captured the public imagination since their first media representation in Star Wars in 1977. Although fiction, the idea of glowing, 3D projections is based on real-world holographic display technology, which can create 3D image content by manipulating the wave properties of light. However, in practice, the image quality of experimental holograms has significantly lagged traditional displays until recently. What changed? This talk will delve into how hardware improvements met ideas from machine learning to spark a new wave of research in holographic displays. We’ll take a critical look at what this research has achieved, discuss open problems and explore the potential of holographic technology to create head-mounted displays with a glasses-form factor.

About the Speaker

Grace Kuo is a research scientist in the Display Systems Research team at Meta where she works on novel display and imaging technology for virtual and augmented reality. She is particularly interested in the joint design of hardware and algorithms for imaging systems, and her work spans optics, optimization, signal processing and machine learning. Grace’s recent work on “Flamera,” a light-field camera for virtual reality passthrough, won Best-in-Show at the SIGGRAPH Emerging Technology showcase and received wide-spread positive press coverage from venues like Forbes and UploadVR. Grace earned her BS at Washington University in St. Louis and her PhD at the University of California, Berkeley, advised by Dr. Laura Waller and Dr. Ren Ng.
 

Pietro Ferraro

Institute of Applied Sciences and Intelligent Systems "Eduardo Caianiello" (ISASI-CNR), Italy

The Scientific Magic of Holography: From Broken Promise to Breakthroughs in Biomedical Imaging

Holography has evolved from a promising but illusory concept to a transformative tool in biomedical imaging. Leveraging intrinsic features of digital holography, it enables single cell analysis, quantitative phase imaging and stain-free microscopy. This breakthrough, enhanced by artificial intelligence, opens new frontiers in diagnosis and therapy with intelligent flow-cytometers through 3D imaging.

About the Speaker

Pietro Ferraro is Director of Research at the CNR Institute of Applied Sciences and Intelligent Systems (ISASI), Italy. He served as ISASI Director from 2014 to 2019 and President of CNR Research Area in Pozzuoli from 2012 to 2019. Ferraro has held leadership roles in various organizations and worked as Principal Investigator with Alenia Aeronautics from 1988 to 1993. His research spans holography, microscopy, micro-nanostructures, non-destructive testing and optical sensors, with over 350 journal papers, 20,000 citations and 14 patents. A Fellow of both Optica and SPIE, he received the SPIE Gabor Award and served on the Scientific and Technical Committee for the Italian Space Agency from 2018 to 2023.

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Invited Speakers

  • Julie Buquet, Immervision Inc., Canada
  • Ryoichi Horisaki, University of Tokyo, Japan
    Computational Imaging Through Scattering Medium
  • Andreas Velten, University of Wisconsin-Madison, United States
  • Julie Buquet, Immervision Inc., Canada
  • Ryoichi Horisaki, University of Tokyo, Japan
    Computational Imaging Through Scattering Medium
  • Andreas Velten, University of Wisconsin-Madison, United States

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Image for keeping the session alive