Computational Cameras and Displays

Computational photography has become an increasingly active area of research within the computer vision community. Within the few last years, the amount of research has grown tremendously with dozens of published papers per year in a variety of vision, optics, and graphics venues. A similar trend can be seen in the emerging field of computational displays - spurred by the widespread availability of precise optical and material fabrication technologies, the research community has begun to investigate the joint design of display optics and computational processing. Such displays are not only designed for human observers but also for computer vision applications, providing high-dimensional structured illumination that varies in space, time, angle, and the color spectrum. This workshop is designed to unite the computational camera and display communities in that it considers to what degree concepts from computational cameras can inform the design of emerging computational displays and vice versa, both focused on applications in computer vision.

The CCD workshop series serves as an annual gathering place for researchers and practitioners who design, build, and use computational cameras, displays, and projector-camera systems for a wide variety of uses. The workshop solicits papers, posters, and demo submissions on all topics relating to projector-camera systems.

Previous CCD Workshops: CCD2015, CCD2014, CCD2013, CCD2012

Important Dates

  • Paper registration: March 25
  • Paper submission deadline: March 28
  • Paper acceptance notification: April 23
  • Camera ready date: April 30
  • Poster/Demo submission deadline: May 30
  • Workshop date: July 1


CCD Workshop is part of the CVPR 2016 workshops.

Please see the CVPR webpage for details on venue, accomodations, and other details!

Latest News

May 9: The program is available
March 23: We are now accepting poster & demo submissions.
February 10: We have three exciting keynote speakers!
February 10: Call for papers is out!


Paper Submissions

Paper submissions are handled through the workshop's CMT website:

The paper submission deadline is Monday, March 28th. Submissions can be up to 8 pages in length (excluding reference) prepared using the CVPR-CCD Author Kit. Supplementary material can also be submitted if appropriate. Videos should be in a common format, e.g., MPEG-1, MPEG-4, XviD, or DivX. The submission and review process is double blind; avoid providing any information that may identify the authors. Papers accepted to the workshop will appear in both the CVPR proceedings and on IEEE Xplore.

Poster/Demo Submissions

CCD's poster & demo session provides an excellent opportunity for attendees to present recently published works or late-breaking results. Note that unlike paper submissions, posters & demos do not have to be original works.

To submit a poster or demo, email us directly at with the subject "CCD Poster" by Monday, May 30th. Submissions should include a title, authors, affiliations, and a short description of the proposed poster or demo. We also encourage submitting supporting material (e.g. published papers, videos).


8:45 - 9:00 Welcome and Opening Remarks
9:00 - 10:00 Keynote 1

Computational microscopy for gigapixel-scale imaging
Laura Waller (UC Berkeley)

10:00 - 10:15 Fast Forward Presentation for Posters and Demos
10:15 - 11:00 Morning Break + Poster Session
11:00 - 12:00 Papers Session 1

Depth Camera based on Color-Coded Aperture
Vladimir Paramonov, Ivan Panchenko, Victor Bucha, Andrey Drogolyub, Sergey Zagoruyko

SparkleGeometry: Glitter Imaging for 3D Point Tracking
Abigail Stylianou, Robert Pless

Time-offset Conversations on an Automultiscopic Projector Array
Andrew V Jones, Jonas Unger, Koki Nagano, Jay Busch, Xueming Yu, Hsuan-Yueh Peng, Joseph Barreto, Oleg Alexander, Paul Debevec, Mark Bolas

12:00 - 13:00 Lunch (on your own)
13:00 - 14:00 Keynote 2

A Systems Approach to Designing Computational Cameras
Rajiv Laroia (Light)

14:00 - 15:00 Papers Session 2

Avoiding the Deconvolution: Framework Oriented Color Transfer for Enhancing Low-Light Images
Laura M Florea, Corneliu O Florea, Ciprian Ionascu

Power-efficient Cameras Using Natural Image Statistics
Roni Feldman, Yair Weiss, Yonina Eldar

Strategies For Resolving Camera Metamers using 3+1 channel
Dilip K Prasad

15:00 - 16:00 Afternoon Break + Poster Session
16:00 - 17:00 Keynote 3

Computational Near-eye Displays
Gordon Wetzstein (Stanford)

17:00 - 17:15 Closing Remarks and Best Paper Award

Keynote talks

  • Laura Waller is an assistant professor at University of California, Berkeley. She heads the Computational Imaging Lab, which develops new methods for optical imaging, with optics and computational algorithms designed simultaneously.
  • Keynote1: Computational microscopy for gigapixel-scale imaging by Laura Waller (UC Berkeley)
    Abstract: This talk will describe computational imaging methods for capturing gigapixel-scale 3D intensity and phase images in a commercial microscope. Our experimental setups employ illumination-side and detection-side coding of angle (Fourier) space for capturing large datasets with fast acquisition times. The result is a high-resolution image across a large field-of-view, achieving high space-bandwith-time product. Experimentally, we achieve real-time 3D and phase imaging with digital aberration correction and mitigation of scattering effects, by exploiting compressive sensing ideas. Such computational approaches to optical microscopy add significant new capabilities to commercial microscopes without significant hardware modification.
    Bio: Laura Waller is an Assistant Professor at UC Berkeley in the Department of Electrical Engineering and Computer Sciences (EECS) and a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering and Applied Sciences & Technology. She was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012 and received B.S., M.Eng., and Ph.D. degrees from the Massachusetts Institute of Technology (MIT) in 2004, 2005, and 2010, respectively. She is recipient of the Moore Foundation Data-Driven Investigator Award, Bakar Fellowship, NSF CAREER award, the Ted Van Duzer Endowed Professorship of EECS and Packard Fellowship for Science and Engineering.

  • Rajiv Laroia is the CTO of Light. He will be talking about exciting new technology developed at Light on next-generation consumer cameras.
  • Keynote2: A systems approach to designing computational cameras by Rajiv Laroia (Light)
    Abstract: In this talk we will discuss challenges in the design of a computational camera that is similar in quality and features to an expensive interchangeable lens camera but in a form factor closer to a mobile device. Designing a good computational camera requires an in-depth understanding of physical optics in addition to computational optics. We show how systems thinking and innovation can help overcome some of the design challenges. The talk will be based on the design of the Light L16 camera.
    Bio: Rajiv Laroia is the cofounder and CTO of Light, a company developing a new optics technology. Rajiv previously founded and served as CTO of Flarion Technologies, which developed the base technology for LTE. Flarion was acquired by Qualcomm in 2006. Prior to Flarion, Rajiv held R&D leadership roles in Lucent Technologies Bell Labs. Rajiv holds a Ph.D. and Master's degree from the University of Maryland, College Park and a Bachelor's degree from the Indian Institute of Technology, Delhi, all in electrical engineering. He is recipient of the 2013 IEEE Industrial Innovation Award.

  • Gordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Group, an interdisciplinary research group focused on advancing imaging, microscopy, and display systems.
  • Keynote3: Computational Near-eye Displays by Gordon Wetzstein (Stanford)
    Abstract: Immersive visual and experiential computing systems, i.e. virtual and augmented reality (VR/AR), are entering the consumer market and have the potential to profoundly impact our society. Applications of these systems range from communication, entertainment, education, collaborative work, simulation and training to telesurgery, phobia treatment, and basic vision research. In every immersive experience, the primary interface between the user and the digital world is the near-eye display. Thus, developing near-eye display systems that provide a high-quality user experience is of the utmost importance. Many characteristics of near-eye displays that define the quality of an experience, such as resolution, refresh rate, contrast, and field of view, have been significantly improved over the last years. However, a significant source of visual discomfort prevails: the vergence-accommodation conflict (VAC). Further, natural focus cues are not supported by any existing near-eye display. In this talk, we discuss frontiers of engineering next-generation opto-computational near-eye displays systems to increase visual comfort and provide realistic and effective visual experiences.
    Bio: Gordon Wetzstein is an Assistant Professor of Electrical Engineering and, by courtesy, of Computer Science at Stanford University. He is the leader of the Stanford Computational Imaging Group, an interdisciplinary research group focused on advancing imaging, microscopy, and display systems. Prior to joining Stanford in 2014, Prof. Wetzstein was a Research Scientist in the Camera Culture Group at the MIT Media Lab. He received a Ph.D. in Computer Science from the University of British Columbia in 2011 and graduated with Honors from the Bauhaus in Weimar, Germany before that. His doctoral dissertation focuses on computational light modulation for image acquisition and display and won the Alain Fournier Ph.D. Dissertation Annual Award. Gordon is the recipient of an NSF CAREER award, he won best paper awards at the International Conference on Computational Photography (ICCP) in 2011 and 2014 as well as a Laval Virtual Award in 2005.

    Workshop chairs

    Committee members

    • Abe Davis, Massachusetts Institute of Technology
      Ayan Chakrabarti, Toyota Technological Institute at Chicago
      Belen Masia, Universidad de Zaragoza
      Changil Kim, ETH Zurich
      Douglas Lanman, Oculus Research
      Felix Heide, Stanford University
      Huixuan Tang, University of Toronto
      Imari Sato, National Institute of Informatics
      Ioannis Gkioulekas, Harvard University
      Jason Holloway, Rice University
      Kaushik Mitra, Indian Institute of Technology Madras
      Kristin Dana, Rutgers University
      Mohit Gupta, University of Wisconsin-Madison
      Oliver Cossairt, Northwestern University
      Roarke Horstmeyer, California Institute of Technology
      Srikumar Ramalingam, Mitsubishi Electric Research Laboratories
      Supreeth Achar, Carnegie Mellon University
      Tomas Pajdla, Czech Technical University in Prague
      Yasuhiro Mukaigawa, Nara Institute of Science and Technology
      Yebin Liu, Tsinghua University
      Yuichi Taguchi, Mitsubishi Electric Research Laboratories
      Zhuo Hui, Carnegie Mellon University