Microphones

Keynote Speakers

Hsin-Chien Huang.jpg

Hsin-Chien Huang

Title: Explore the Color in VR: from Chalkroom to Samsara

Oct. 20

09:00-09:50

UTC+8

Taipei time

Biography

Hsin-Chien Huang is an artist, director in mixed media area. Science, technology, new media, programming, and algorithms are tools he uses to bring the universe of his imagination to life. He served as artistic director for SEGA and Sony. Huang collaborated with pioneering American media artist Laurie Anderson and their VR work La Camera Insabbiata/Chalkroom which won the Best VR experience Award at the 74th Venice International Film Festival (it was the first edition of the festival that introduced its virtual-reality section); his work Bodyless was also nominated in the 76th of the festival. In 2011, Huang received by president of Taiwan Ma Ying-jeou and granted as one of the "Pride of Taiwan" honor. He founded Storynest Studio after 2001, which engaged in artistic creation and commercial design. Huang is currently a distinguished professor at National Taiwan Normal University.

Currently, his Samsara has selected to win the Jury Award in 2021 Texas SXSW Festival.

http://hsinchienhuang.com/1_news.php?lang=en

Abstract

In this keynote, award-winning VR director Hsin-Chien Huang shares his process of virtual reality creation. He will talk about the development of colors and forms in immersive content.

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Dr. Minchen Wei.jpg

Dr. Minchen Wei

Title: Challenges and Opportunities in Color Science Introduced by Metaverse

Oct. 20

10:00-10:40

UTC+8

Taipei time

Biography

Minchen Wei obtained his Bachelor degree from Fudan University in 2009. In Aug 2011 and Dec 2015, he earned his Master of Science and PhD degrees in Architectural Engineering at The Pennsylvania State University. He joined  The Hong Kong Polytechnic University in Oct 2015 as an Assistant Professor and was promoted to Associate Professor in 2020. His research mainly focuses on fundamental color science, color management and application for imaging and metaverse systems (e.g., display, camera, AR/VR/MR), and illuminating engineering. His work has been supported by the Research Grant Council (RGC) of Hong Kong, National Science Foundation of China (NSFC), Hong Kong Policy Innovation and Coordination Office, and Hong Kong SAR Electrical and Mechanical Services Department (EMSD), and various industry partners (i.e., Facebook, Google, Huawei, DJI, WSP, OPPO, OPPLE Lighting, etc). Dr. Wei is currently the Vice Chairman of CIE (HK), and Hong Kong's representative in CIE Division 1 and 8. He is also an Associate Editor of Journal of the Optical Society of America A, and Color Research & Application. In 2021, he received a Google Research Scholar Award.

Abstract

Color science research generally investigate how the human visual system responds to optical radiation produced by various sources and systems. The research findings help to develop metrics, models, formula, and thresholds, which are used for color measurement, specification, calibration, and processing. The appearance of various new imaging systems in metaverse introduces both challenges and opportunities, since the viewing conditions provided by these metaverse systems are completely different from the conventional applications. For example, most existing models were developed for applications related to surface colors (e.g., printing, fabric, textile, painting) or self-luminous colors (e.g., light sources and displays). In contrast, the imaging systems in metaverse provides much larger field of view than typical displays, which makes the viewing conditions more similar to the real conditions. This talk reports several of the research work that has been carried out in our laboratory. This research has revealed the necessity to specifically focus on these new systems, and to develop new models for these systems.

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Biography

Masha Shugrina is a Senior Research Scientist at the NVIDIA Toronto AI Lab, where she manages a group focused on creative applications of AI and efforts to accelerate research. Masha defended her PhD at the University of Toronto, where she investigated the design playful and intelligent creative tools, receiving Canada's Alain Fournier Award for Outstanding Doctoral Dissertation in Computer Graphics and founding colorsandbox.com. Prior to this, she was a Research Engineer at Adobe Research (Cambridge, MA), where she led the Playful Palette project. Before Adobe, Masha got her Master’s in Computer Science from MIT, and before that she was a Senior Software Engineer / Tech Lead at Google (NYC and Zurich). She is also an avid oil painter, whenever she can find the time.

Abstract

Dr. Masha Shugrina

Title: Interactive Color Tools for Creativity and AI

Oct. 21

09:00-09:40

UTC+8

Taipei time

Color is a core aspect of many visual fields, and digital interfaces for working with color have a big effect on the creative process. In this talk, I will present several case studies in designing interactive tools for working with color by focusing on artists’ needs, functionality as well as playfulness and enjoyment. Specifically, I will examine the domain of digital painting, and then broaden the context to consider color use cases across a variety of domains. In the second part of the talk I will describe the color triad representation that can model color distributions of existing images and allow interactive color exploration. Finally, I will show an application of this representation from the field of generative adversarial networks (GANs) for modeling interactive drawing media. The talk will conclude with some design principles for color interfaces with the creative process in mind.

Dr. Pichayada Katemake.jpg

Oct. 21

09:40-10:10

UTC+8

Taipei time

Dr. Pichayada Katemake

Title: Colour in the restoration and conservation of artworks.

Biography

Dr. Pichayada Katemake is an associated professor of Faculty of Science, Chulalongkorn University, Thailand teaching and doing research in the field of color physics, color science and related fields in the Department of Imaging and Printing Technology. She has been doing the research on the perception of the low vision for more than 10 years. She is interested in use of high quality illumination to enhance the perception. She determines to develop the protocols for Thai arts conservation and restoration using science and technology.

Abstract

Identifying pigments used in the work of art is an important process in restoration and conservation. Hyperspectral and Multispectral imaging are employed widely for this purpose. My talk includes the use of a series of images obtained from multi-spectral imaging based on technical photography with UV-Vis-NIR and on 14-channels of narrow-band LEDs as training sets for classifying and identifying pigments. Applying an unsupervised learning algorithm, Self Organize Maps (SOM) is mentioned.

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Prof. Tzung-Han Lin

Title: Color and Texture in 3D Shape Measurement

Oct. 21

10:20-11:00

UTC+8

Taipei time

Biography

Dr. Tzung-Han Lin is a Professor at the Graduate Institute of Colour and Illumination Technology, National Taiwan University of Science and Technology (NTUST), Taiwan.

Dr. Lin received a Ph.D. of Mechanical Engineering from National Taiwan University, Taiwan in 2006. He joined Industrial Technology and Research Institute (ITRI) as a senior engineer in 2007. He was a visiting scholar of Carnegie Mellon University in 2007 and 2008. Since 2011, he has been with NTUST, where he is currently a Professor. He served as a technical consultant of Etron Inc. during 2015-2017. In 2020, Dr. Lin also received outstanding research award from NTUST.   

His research interest includes Physically based rendering (PBR) texture, 3D color imaging, 3D Scanning technology, 3D data processing, Computer graphics, Computer vision and 3D printing related topics. He published 80+ peer-reviewed papers and 25+ worldwide patents. Based on his numerous research projects, he also promoted several successful commercial products to the market particularly in 3D and color measurement field.

Abstract

3D shape measurement is the technology to collect not only 3D geometry information but color appearance. However, there are few commercial products which are able to reproduce accurate color and texture for 3D objects. To visualize a realistic 3D object, physically based rendering (PBR) texture is usually used. In PBR texture, there are several factors such as diffusion, glossy, roughness, metallic, surface normal et. al. In this talk, I will introduce to how a 3D scanning device was developed, and why PBR is important and difficult to obtain in 3D shape measurement. In recent decade, we dedicated on the development of 3D shape measurement for various industrial applications. It is no doubt that “color” as well as texture is the most critical part for visualization in digital age. For different purposes, we developed several types of 3D appearance measurement devices based on different configurations. Most of them were practical and designed to severe the need of 3D color measurement. Moreover, this talk will provide the perspective view from 3D engineering to understand the fundamentals of “color and texture”.