Christopher Bauder
Short Bio
Christopher Bauder (b. 1973) began creating large-scale art installations and lighting designs after his studies at the Berlin University of the Arts. His projects focus on the translation of bits and bytes into objects and environments and vice versa. Space, object, sound, light and interaction are the key elements of his work.
In 2004, he founded the multidisciplinary art and design studio WHITEvoid, which consists of specialists in architecture, interior design, media design, planning and engineering. In 2021, he launched DARK MATTER – a permanent exhibition of Bauder’s work in Berlin that attracted already more than 300,000 visitors.
He is best known for his city-wide light art installation “Lichtgrenze”, created in 2014 for the 25th anniversary of the Fall of the Berlin Wall. He has exhibited installations and performances around the world, including the Centre Pompidou in Paris, MUTEK Festival Montreal, CTM Berlin, Festival of Lights Lyon, National Taiwan Museum of Fine Arts and the National Center for the Performing Arts in Beijing.
Title and Abstract
coming soon …
Raimondo Schettini
Short Bio
Raimondo Schettini is a full professor at the University of Milano Bicocca (Italy) where he leads the Imaging and Vision Lab (www.ivl.disco.unimib.it). He has been associated with the Italian National Research Council since 1987, where he led the Color Imaging Lab from 1990 to 2002. He has been a team leader in several research projects, some of them supported by companies like AlmaViva, Almaware, Olivetti, Pirelli, Selex Galileo, StMicroelectronics, ST-Ericsson, HP, Oce’, Lastminute.com, Accenture, Canon, Huawei. He published more than 400 refereed papers and 12 patents about color imaging; image processing, analysis, and classification; image and video understanding and retrieval. He has been program chair of several international conferences and workshops and he is Editor in Chief of the MDPI Journal of Imaging. Raimondo Schettini is on Stanford University’s World Ranking Scientists List for his achievements in artificial intelligence and image processing. He is a fellow of the International Association of Pattern Recognition (IAPR) for his contributions to pattern recognition research and color image analysis, Fellow of Asia-Pacific Artificial Intelligence Association (AAIA) and member of ELLIS (European Laboratory for Learning and Intelligent Systems). Raimondo Schettini is also Chief Technical Officer of the University of Milano Bicocca spin off “Imaging and Vision Solutions”, and member of the advisory board of the international AIQT Foundation.
Title and Abstract
Data visualization with the help of color
Andrew Stockman
Short Bio
Andrew Stockman is the Steers Professor at the Institute of Ophthalmology at University College London and is part-time Qiushi Chair Professor at the College of Optical Science and Engineering, Zhejiang University. His research areas include colour vision, rod vision, visual adaptation, temporal sensitivity, and clinical psychophysics. He may be best known for his work with Ted Sharpe on cone spectral sensitivities and luminous efficiency, work which has been adopted by the Commission Internationale de l’Éclairage (CIE) as the new international standard for colour definition and colour measurement. Other important work includes measurements of cone and rod temporal sensitivity and delay, the discovery of an unexpected S-cone input to luminance, and measurements of visible distortion that allow the performance of the visual system to be dissected into early and late stages. He also runs the widely used colour database at http://www.cvrl.org and is Editor-in-Chief of Color Research and Application. In 2016 he received the Colour Group GB Newton medal, and in 2018 the Inter-Society Color Council Macbeth Award.a
Title and Abstract
Cone fundamentals, colour matching and individual differences.
At its input, daytime colour vision depends on the activations of just three photoreceptor types: the long- (L), middle- (M) and short- (S) wavelength-sensitive cones, each of which responds to light univariantly (i.e., with regard only to the number of photons absorbed). Thus, a knowledge of the three cone spectral sensitivities allows us to predict pairs of lights that should appear the same to the normal or “standard” human observer. The CIE has sanctioned the cone spectral sensitivity estimates of Stockman and Sharpe (2000) and their associated measures of luminous efficiency (Sharpe et al., 2005, 2011) as “physiologically-relevant” standards for colour vision (CIE, 2006). These discrete cone spectral sensitivities—often referred to as “cone fundamentals”—are specified for 2 and 10-deg vision for the mean “standard” observers with normal photopigment genotypes and with average ocular transparencies at 1 or 5-nm steps. These LMS fundamentals can be easily transformed into colour matching functions (CMFs) for any other sets of primaries, such as XYZ (CIE, 2015) or RGB.
While it is important to be able to define the mean CMFs, it is becoming increasingly important to be able to predict the CMFs of individual observers many of which differ substantially from the mean functions. Partly to facilitate this computationally, we have developed formulae that account for the three cone spectral sensitivities, their underlying photopigment spectra and the macular and lens pigment optical density spectra as continuous functions of wavelength from 360 nm to 850 nm with minimal error. These continuous functions enable individual differences to be easily calculated and allow the straightforward generation of non-standard cone spectral sensitivities (and other CMFs) with different macular, lens and photopigment optical densities, and with spectrally shifted L- and M-cone photopigments, such as those found in red-green colour vision deficient observers.
In a recent series of experiments, we have used these continuous functions to analyse colour matching data obtained with a new 11-primary LED-driven colour matching device (LEDMax) and have been able to identify the causes of the individual variations in the matches.
References: Stockman & Sharpe, Vision Research (2000) 40, 1711-1737. Sharpe et al., Journal of Vision (2005) 5, 948-968; Color Research & Application (2011) 36, 42-46. CIE (2006) publication 170-1:2006; (2015) publication 170-2:2015.