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 IMPORTANT DATES
 Final Manuscripts Due
28 Sept 2020
 Early Registration Deadline 15 Oct 2020
 Short Courses Begin
4 Nov 2020
 Technical Program Begins 16 Nov 2020
 Workshop
19 Nov 2020
 2020 TECHNICAL PAPERS PROGRAM

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IMPORTANT INFORMATION ABOUT THE ONLINE TECHNICAL PROGRAM
  • Technical talks take place the week of November 16, essentially Monday thru Wednesday, depending on your time zone.
  • The program is divided into three time zone blocks and papers have been arranged to allow for a subset of live papers in each block (Americas, Europe, Asia). For your convenience, you may view the program based on a city in of of these blocks.
  • Talks are presented live, but will be recorded, so may they may be viewed (as often as you like) at your convenience.
  • Recordings will be online until 15 March 2021.
  • The All Access Passport allows you to take all the short courses live and/or via recording + the technical program, with recordings available until 15 March 2021 and available for viewing as many times as you like.
NOTES ABOUT THIS VIEW OF THE PROGRAM
  • Below is the the program in New York time.
  • To make the program easier to understand, talks given during overnight hours—when you are likely asleep—have a grey background.
  • Talks are presented live during the times noted, but will be recorded and may they may be viewed at your convenience, as often as you like, until 15 March 2021.
Monday 16 November
Color Vision and Perception
10:00 - 11:05
Welcome and Opening Keynote
 
Colour Appearance and Spatio-chromatic Vision, Sophie Wuerger, University of Liverpool (UK)
11:05 - 11:30
Coffee Break
11:30 - 12:10
Color Vision and Perception Session I
11:30
Practical Color Contrast Sensitivity Functions for Luminance Levels up to 10000 cd/m2 , Rafal Mantiuk1, Minjung Kim1, Maliha Ashraf2, M. Ronnier Luo3, Jasna Martinovic4, and Sophie Wuerger2; 1University of Cambridge, (UK), 2University of Liverpool, (UK), 3Zhejiang University (China), and 4University of Aberdeen (UK)
11:50
Observer Metamerism: Why do [mis]Matches of Neutral Appear Pinkish or Greenish?Yongmin Park, Michael Murdoch, and Mark Fairchild, Rochester Institute of Technology (US)
12:10 - 13:00
2-Minute Interactive (Poster) Previews I followed by Coffee Break and Interactive Session I
 
Effect of Peak Luminance on Perceptual Color Gamut Volume, Fu Jiang and Mark Fairchild, Rochester Institute of Technology (US) and Kenichiro Masaoka, NHK (Japan)
 
A Study on Attributes for 2.5D Print Quality Assessment, Altynay Kadyrova, Vlado Kitanovski, and Marius Pedersen, Norwegian University of Science and Technology (Norway)
 
Investigation of Effect of Skin Tone to Facial Attractiveness, Yan Lu1, Jie Yang1, Kaida Xiao1, Michael Pointer1, Changjun Li2, and Sophie Wuerger3; 1University of Leeds (UK), 2University of Science and Technology Liaoning (China) and 3University of Liverpool (UK)
 
Relationship between Perceived Room Brightness and Light Source Appearance Mode in Different Media: Reality, Virtual Reality, and 2D Images, Ching-wei Lin, Peter Hanselaer, and Kevin Smet, KU Leuven (Belgium)
 
The Impact of Transition Type on Chromatic Adaptation under Dual Lighting Conditions, Shining Ma1, Peter Hanselaer1, Kees Teunissen2, and Kevin Smet1; 1KU Leuven (Belgium) and 2Signify (the Netherlands)
13:00 - 14:10
Color Vision and Perception Session II
13:00
Perceptually Motivated Model for Predicting Banding Artefactsin High-dynamic Range Images, Minjung Kim, Maryam Azimi, and Rafal Mantiuk, University of Cambridge (UK)
13:20
JIST-first: The Effect of Texture on Perceived Memory Color Quality, Anku Anku and Susan Farnand, Rochester Institute of Technology (US)
13:40
Spatio-chromatic Contrast Sensitivity across the Lifespan: Interactions between Age and Light Level in High Dynamic Range, Maliha Ashraf1, Minjung Kim2, Jasna Martinovic3, Sophie Wuerger1, and Rafal Montauk2; 1University of Liverpool, 2University of Cambridge, and 3University of Aberdeen (UK)
14:00
Closing Remarks
18:00 - 18:50

Color Vision and Perception Session III
18:10
JIST-first: Glossiness-aware Image Coding in JPEG Framework, Midori Tanaka, Tomoyuki Takanashi, and Takahiko Horiuchi, Chiba University (Japan)
18:30
JIST-first: Appearance-aware Error Diffusion Algorithm for Multi-level Digital Halftoning, Donghui Li, Takuma Kiyotomo, Midori Tanaka, and Takahiko Horiuchi, Chiba University, and Kaku Shigeta, Think Laboratory Co., Ltd. (Japan)
18:50 - 19:40
2-Minute Interactive (Poster) Previews II followed by Coffee Break and Interactive Session II
 
Preferred Skin Colours Observed by Three Ethnic Groups under different Ambient Lighting Conditions, Mingkai Cao, Ming Ronnier Luo, Rui Peng, Yuechen Zhu, and Xiaoxuan Liu, Zhejiang University, and Guoxiang Liu, Huawei Technologies Co, Ltd. (China)
 
A Tone Mapping Model based on Receptive Field for HDR Images, Imran Mehmood, Muhammad Mughal, and Ming Ronnier Luo, Zhejiang University (China)
 
Analysis of Hue Circle Perception of Congenital Red-Green Congenital Color Deficiencies based on Color Vision Model, Minoru Ohkoba1, Tomoharu Ishikawa1, Shoko Hira2, Sakuichi Ohtsuka2, and Miyoshi Ayama1; 1Utsunomiya University and 2Kagoshima University (Japan)
 
Preferred Skin Reproduction Centres for Different Skin Groups, Rui Peng, Ming Ronnier Luo, Mingkai Cao, Yuechen Zhu, and Xiaoxuan Liu, State Key Laboratory of Modern Optical Instrumentation, and Guoxiang Liu, Hisilicon (China)
 
Are We Alike? Skin Color Perception in Portrait Image and AR-based Humanoid Emoji, Yuchun Yan and Hyeon-Jeong Suk, KAIST (South Korea)
19:40 - 20:50
Color Vision and Perception Session IV
19:40
Development of Monitoring System for Facial Shape and Skin Color Using Depth Camera Mounted on a Smartphone, Ikumi Nomura1, Naoaki Rikihisa2, Nobuyuki Mitsukawa2, and Norimichi Tsumura1; 1Chiba University and 2Chiba University Hospital (Japan)
20:00
Are Spatial Chromatic Contrast Sensitivity Band-pass or Low-pass Functions?, Qiang Xu1, Stephen Westland2, Marcel Lucassen3, Dragan Sekulovski3, Sophie Wuerger4, Rafal Mantiuk5, and Ming Ronnier Luo1; 1Zhejiang University (China), 2University of Leeds (UK), 3Philips Lighting Research (the Netherlands), 4University of Liverpool (UK), and 5University of Cambridge (UK)
20:20
Investigating Effects of Visual and Auditory Adaptation on Metallic Material Appearance, Takumi Nakamura, Daichi Yagi, Keita Hirai, Kuangzhe Xu, and Toshihiko Matsuka, Chiba University (Japan)
20:40
Closing Remarks
Tuesday 17 November
Computational Color
10:00 - 11:00
Welcome and Tuesday Keynote
 
Why are there Colors in the Ocean? Derya Akkaynak, Florida Atlantic University, Harbor Branch Oceanographic Institution (US)
11:00 - 11:30
Coffee Break
11:30 - 12:10
Computational Color Session I
11:30
Interactive White Balancing for Camera-rendered Images, Mahmoud Afifi and Michael Brown, York University (Canada)
11:50
JIST-first: A Flying Grey Ball Multi-illuminant Image Dataset for Colour Research, Hoda Aghaei and Brian Funt, Simon Fraser University (Canada)
12:10 - 13:00
2-Minute Interactive (Poster) Previews III followed by Coffee Break and Interactive Session III
 
A Way to Calibrate a Colour Texture Feature, Hermine Chatoux1, Noel Richard1, Hela Jebali2, Francois Lecellier1, and Christine Fernandez-Maloigne1; 1XLIM Laboratory (France) and 2University of Tunis El Manar (Tunisia)
 
Weibull Tone Mapping for Underwater Imagery, Chloe Game1, Michael Thompson2, and Graham Finlayson1; 1University of East Anglia and 2Gardline Ltd., (UK)
 
BRDF Rendering by Interpolation of Optimized Model Parameters, Tanzima Habib, Phil Green, and Peter Nussbaum, Norwegian University of Science and Technology (Norway)
 
On Filters Making an Imaging Sensor more Colorimetric, Hans Jakob Rivertz, Norwegian University of Science and Technology (Norway)
 
Fake Video Detection Using Facial Color, Hadas Shachar and Hagit Hel-Or, University of Haifa (Israel)
13:00 - 14:10
Computational Color Session II
13:00
Designing a Color Filter via Optimization of Vora-Value for Making a Camera more Colorimetric, Yuteng Zhu and Graham Finlayson, University of East Anglia (UK)
13:20
Improved Camera Color Accuracy in the Presence of Noise with a Color Prefilter, Michael Vrhel, Artifex Software (US)
13:40
Improving Color Space Conversion for Camera-captured Images via Wide-gamut Metadata, Hoang Le, Mahmoud Afifi, and Michael Brown, York University (Canada)
14:00
Closing Remarks
18:00 – 18:50
Computational Color Session III
18:10
Camera ISP Modification to Enable Image De-rendering, Abhijith Punnappurath and Michael Brown, Samsung Research, AI Center (Canada)
18:30
Spectral Reflectance Estimation Using Projector with Unknown Spectral Power Distribution, Hironori Hidaka, Yusuke Monno, and Masatoshi Okutomi, Tokyo Institute of Technology (Japan)
18:50 – 19:40
2-Minute Interactive (Poster) Previews IV followed by Coffee Break and Interactive Session IV
 
Optimal Text-background Lightness Combination for Enhancing Visual Clarity Using a Head-up Display under Different Surround Conditions, Hsin-Pou Huang1, Minchen Wei2, Hung-Chung Li3, and Li-Chen Ou4; 1Chihlee University of Technology (Taiwan), 2The Hong Kong Polytechnic University (Hong Kong), 3Academia Sinica (Taiwan), and 4National Taiwan University of Science and Technology (Taiwan)
 
Image-based Measurement of Structural Color Using Spectral Camera, Kazuki Iwata, Hiroki Shirasawa, and Keita Hirai, Chiba University (Japan)
 
Using Images of the Tongue for Diagnostic Assistance in Kampo Medicine, Reimei Koike1, Keiko Ogawa-Ochiai2, and Li Hongyang3; 1Chiba University, 2Kanazawa University Hospital, and 3Kanazawa University (Japan)
 
Estimation Method of Fluorescent Donaldson Matrices based on Multispectral Imaging Data, Shoji Tominaga, Nagano University (Japan)
 
Characterization of Color Differences for Color Palette, Jialu Wu1, Jie Yang2, Minchen Wei1, Kaida Xiao2, and Stephen Westland2; 1The Hong Kong Polytechnic University (Hong Kong) and 2University of Leeds (UK)
19:40 – 20:50
Computational Color Session IV
19:40
Effect of Color Gamut and Luminance on Observer Metamerism in HDR Displays, Yongmin Park and Michael Murdoch, Rochester Institute of Technology (US)
20:00
JPI-first: Using Gaussian Spectra to Derive a Hue-linear Color Space, Luke Hellwig and Mark Fairchild, Rochester Institute of Technology (US)
20:20
Von Kries 2020: Evolution of Degree of Chromatic Adaptation, Mark Fairchild, Rochester Institute of Technology (US)
20:40
Closing Remarks
Wednesday 18 November
Color Applications
10:00 – 11:00
Closing Keynote
 
Rethinking Color Measurement, Ayan Chakrabarti, Washington State University in St. Louis, McKelvey School of Engineering (US)
11:00 – 11:30
Coffee Break
11:30 - 12:10
Color Application Session I
11:30
Linear Spectral Estimate Refinement for Spectral Reconstruction from RGB, Tarek Stiebel, Simon Koppers, and Dorit Merhof, RWTH Aachen University (Germany)
11:50
Reconstructing Spectra from RGB Images by Relative Error Least-squares Regression, Yi-Tun Lin and Graham Finlayson, University of East Anglia (UK)
12:10 - 13:00
2-Minute Interactive (Poster) Previews V followed by Coffee Break and Interactive Session V
 
Simple Primary Colour Editing for Consumer Product Images, Han Gong, University of East Anglia, and Luwen Yu and Stephen Westland, University of Leeds, (UK)
 
Developing a Multi-spectral Imaging System Using a RGB Camera under Two Illuminations, Zhen Liu1, Kaida Xiao2, Michael Pointer2, and Changjun Li3; 1Qufu Normal University (China), 2University of Leeds (UK), and 3University of Science and Technology Liaoning (China)
 
Retrieving the Ancient Colours: Artistic Practice as a Tool for Heritage Reconstruction, Abigail Trujillo Vazquez, Susanne Klein, Xavi Aure, and Carinna Parraman, Centre for Fine Print Research UWE (UK)
 
Optimization of Automotive Color Filter Arrays for Traffic Light Color Separation, Korbinian Weikl and Damien Schroeder, BMW Group, and Walter Stechele, Technical University of Munich (Germany)
 
The Influence of Material Colors on the Effective Color Rendering through Mutual Illumination, Cehao Yu and Sylvia Pont, Delft University of Technology (the Netherlands)
13:00 - 14:10
Color Application Session II
13:00
Revisiting Print-attribute Optimization: A Direct Pattern Generation Approach, Peter Morovic1, Ján Morovic2, Hector Gomez Minano1, Pere Gasparin1, Tanausu Ramirez1, Xavier Fariña1, and Sergio Etchebehere1; 1HP Inc. (Spain) and 2HP Inc. (UK)
13:20
Minimising Ambient Ilumination via Ambient Subtraction: Smartphone Assessment of Jaundice in Liver Patients via Sclera Images, Miranda Nixon-Hill, Felix Outlaw, Lindsay W. MacDonald, Rajeshwar Mookerjee, and Terence S. Leung, University College London (UK)
13:40
Reflectance and Transmittance of Flowable Dental Resin Composite Predicted by the Two-flux Model: On the Importance of Analyzing the Effective Measurement Geometry, Vincent Duveiller1, Lou Gevaux2, Raphaël Clerc2, Jean-Pierre Salomon3, and Mathieu Hebert2; 1Institut d'Optique Graduate School, 2Université Jean Monnet Saint Etienne, and 3Faculté d'Odontologie de Lorraine (France)
14:00
Closing Remarks
18:00 - 18:50
Color Application Session III
18:10
Estimation of Layered Ink Layout to Reproduce Desired Translucency of Skin in Inkjet 3D Printer Using Deep Neural Network Trained with Synthetic Simulated Data, Kensuke Fukumoto1, Kazuki Nagasawa1, Wataru Arai2, Kunio Hakkaku2, Satoshi Kaneko2, and Norimichi Tsumura1; 1Chiba University and 2Mimaki Engineering Co., Ltd., (Japan)
18:30
JIST-first: Spectral Estimation of Multiple Light Sources based on Highlight Detection, Shoji Tominaga, Nagano University, and Keita Hirai and Takahiko Horiuchi, Chiba University (Japan)
18:50 - 19:40
2-Minute Interactive (Poster) Previews VI followed by Coffee Break and Interactive Session VI
 
Double Ring Model for Foveated Imaging, Hiroaki Kotera, Kotera Imaging Laboratory (Japan)
 
Inverse-scaled Lanczos Filtering for Image Sharpening, Hiroaki Kotera, Kotera Imaging Laboratory (Japan)
 
Digital Camera-based Spectral Estimation in Open Environment based on Imaging Condition Correction, Jinxing Liang, Wuhan Textile University (China), and Kaida Xiao, University of Leeds (UK)
 
A Study of Unsharp Masking on HDR Visualization on low Dynamic Range Devices, Jakkrin Singnoo, Chulalongkorn University (Thailand)
19:40 - 20:50
Color Application Session IV
19:40
Simultaneous Measurement of BRDF and Surface Curvature by Using Pattern Illumination, Shinichi Inoue and Norimichi Tsumura, Chiba University (Japan)
20:00
A New Independent Dataset to Verify the Performance of Colour Appearance Models for Predicting Simultaneous Contrast Effect, Yuechen Zhu, Dalin Tian, and Ming Ronnier Luo, Zhejiang University (China)
20:20
Observer Metamerism to Display White Point Using Different Primary Sets, Minchen Wei and Yu Hu, The Hong Kong Polytechnic University (Hong Kong), and Ming Ronnier Luo, University of Leeds, (UK)
20:40
Concluding Remarks

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Sophie Wuerger

Colour Appearance and Spatio-chromatic Vision, Sophie Wuerger, University of Liverpool (UK)

Abstract: The response of the human visual system depends on a multitude of image features, such as the wavelength (color) of the visual stimulus and its spatial frequency content. This talk reviews current models of color appearance, in particular unique hues as a tool to measure appearance and its potential applications. It then discusses how color is always associated with a spatial component, and how the chromatic and spatial information is encoded simultaneously, most likely in the same neurones. A review of experimental evidence on spatio-chromatic processing consistent with this idea is presented, and recent experiments on spatio-chromatic contrast sensitivity assessed on HDR displays is also discussed.

Professor Sophie Wuerger is interested in understanding how the brain processes visual information, in particular how the signals from the eye map into high-order color appearance mechanisms. To gain an understanding of the neural visual mechanisms she uses behavioural methods, EEG, and functional brain imaging. Her work has both clinical and technological application, including display calibration and the development of computational appearance models.

Derya Akkaynak

Why are there Colors in the Ocean? Derya Akkaynak, Florida Atlantic University (US)

Abstract: The color of ocean water provides us tremendous insights regarding the properties of the particles in it. For example using satellites that sense ocean color, we are able to monitor worldwide concentration of phytoplankton—tiny organisms in the water column that produce food for everything else in the ocean to eat. That ocean water has color, however, is precisely what is holding us back from unveiling the colors of everything else, i.e., the colors of the ocean flora, fauna, and the unique habitats that host them. Why does anything in the ocean have color, if that color is to be masked by the color of the water? What would we learn if we could survey the true colors of everything in the ocean?

Derya Akkaynak is an engineer and oceanographer whose research focuses on problems of imaging and vision underwater. She has professional, technical, and scientific diving certifications and has conducted fieldwork from the Bering Sea to Antarctica. Akkaynak is an honoree for the 2019 Blavatnik Awards for Young Scientists in physics & engineering for resolving a fundamental problem in underwater computer vision—the reconstruction of lost colors and contrast. She works at Harbor Branch Oceanographic Institute in Florida.

Ayan Chakrabarti

Rethinking Color Measurement, Ayan Chakrabarti, Washington University in St. Louis (US)

Abstract: Most digital cameras in use today measure color through spatial multiplexing: interestingly, still relying on the Bayer pattern from the 1970s. In this talk, Chakrabarti describes new approaches to thinking about digital color sensors and reconstruction algorithms, borrowing ideas from those that have been successful in related computer vision algorithms. The talk begins by describing a sensor design and reconstruction method based on sparse color measurement, which draws inspiration from "interactive colorization" algorithms that are able to convert black and white images to color from a few color strokes as annotation. Then,Chakrabarti argues for a more data-driven way for jointly designing sensors and computational reconstruction algorithms. In this spirit, the talk explains an automated way to "learn" the right multiplexed color measurement strategy, by treating the color sensor as a "layer" in a neural network. Experimental results will show the benefits of both approaches, and interestingly, that the learning-based approach is able to automatically discover a sparse measurement strategy as being optimal. The talk ends with a discussion on how data-driven sensor design can be a useful tool when building cameras for applications beyond reconstruction.

Ayan Chakrabarti is an assistant professor at Washington University in St. Louis, where he directs the vision and learning group. He works on problems in machine learning, computer vision, and computational photography: dealing with the design of accurate and efficient visual inference algorithms, and of new kinds of high-capability sensors and cameras. He received his PhD (2011) from Harvard University working with Todd Zickler, and was previously research faculty at TTIC.

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