Important Dates

 Call for Papers Proposals April 15, 2018
 Call for Workshops April 15, 2018
 Manuscripts Due Sept. 7, 2018
 Early Registration Ends
October 14, 2018
  Hotel Reservations
October 19, 2018
 Conference Starts November 12, 2018

CIC 26

November 12-16, 2018
Vancouver, BC, Canada


Twenty-sixth Color and Imaging Conference

Color Science and Engineering Systems, Technologies, and Applications


Collocated Meeting: CIE Division 8 annual meeting, Image Technology
CIE Division 8 annual meeting will be held in conjunction with CIC26 on Monday, November 12 from 15:00 - 18:00 at the Pinnacle Harbourfront Hotel, room TBA. Observers are welcome to attend this meeting. Main agenda:
a. CIE progress report
b. Technical committee report (visit http://www.cie.co.at/technical-work/division8/technical-committees)
c. Reportership report (visit http://www.cie.co.at/technical-work/divisions/division8/reporters)

Contacts: Po-Chieh Hung (phung@apple.com)
Christine Fernandez (christine.fernandez@univ-poitiers.fr)

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Keynote Speakers

A Brief Story of Superpixels

Radhakrishna Achanta, Swiss Data Science Center

    Visual comparison with different algorithms
  Visual comparison with different algorithms © 2016 EPFL 

The number of pixels in images is steadily rising. While computing power and memory are getting cheaper, it is nevertheless difficult for algorithms to deal with memory and computational burdens posed by large images, image-stacks, and videos. To address the need to reduce the processing burden, superpixels were introduced and have since found their way into a large number of applications.

During his talk “A Brief Story of Superpixels”, Radhakrishna Achanta of the Swiss Data Science Center (SDSC), will present superpixel segmentation algorithms to address efficient computation, memory consumption, use in computer vision programs and more.

Radhakrishna received his PhD in Computer Science from EPFL Switzerland and currently serves as a Senior Data Scientist at SDSC. In addition, he’s founded several startups, is a co-inventor on four patents and has published numerous papers on his interests in Computer Vision, Image Processing, and Machine Learning.

Learn more about Radhakrishna’s work with SLIC Superpixels.

Colour and Consumer Cameras: The Good, the Bad, the Ugly

Michael Brown, York University

Cameras are now used for many purposes beyond taking photographs. Example applications include remote medical diagnosis, crop monitoring, 3d reconstruction, document recognition, and many more. For such applications, it is desirable to have a camera act as a sensor that directly measures scene light.The problem, however, is that most commodity cameras apply a number of camera-specific processing steps to the captured image in order to produce visually pleasing photos. As a result, different cameras produce noticeably different colors when imaging the exact same scene. This is problematic for applications relying on color because algorithms developed using images from one camera often will not work with images captured on another camera due to color differences. 
This keynote will focus on the current state of affairs for color on commodity cameras, common incorrect assumptions made in the scientific literature regarding image color, and recent developments that are helping to improve the situation.

High dynamic range on the big screen

Anders Ballestad, CEO and co-founder,MTT Innovation Inc., a Barco Company

High dynamic range (HDR) is slowly making its way to the big screen after firmly being established in the living room.  For the cinema, there is considerable excitement around high-contrast projectors as well as LED walls.  MTT has developed an HDR projector based on a new image formation technique we name dynamic lensing.  Source light is steered from dark regions to bright image areas, with dramatic results: deep black levels and a peak luminance exceeding TVs and LED-walls using similar strength light sources as conventional projectors.  The perceptual impact of drastically enhanced colour volume technologies will be discussed, as well as a number of open questions around the creative workflow and the potential for new experiments in colour science.

Anders Ballestad is a physicist, who has previously worked on optics, display technologies and HDR imaging algorithms.  As the CEO and co-founder of MTT Innovation, he is keen to revolutionize cinema by introducing the world’s first high brightness, high dynamic range projection solution.

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Cooperating Societies

The Colour Group (Great Britain)



German Society for Color Science and Application (DFWG)

European Optical Society Logo



Forum Farge



Gruppo del Colore - Associazione Italiana Colore

Imaging Society of Japan

Inter-Society Color Council

IOP



Royal Photographic Society

Suomen Variyhdistys (Finnish Colour Association)



Media Partners