WORKSHOP 2: Facial Appearance Measurement, Perception, and Applications
Convener: Yan Lu, postdoctoral researcher, School of Design, University of Leeds (UK)
Duration: 2 hours
Workshop Time: 13:30 - 15:30
Description
Face is identity. With growing demand for realism, personalization, and inclusivity, facial appearance has reemerged as a key focus across industries and research fields. Advances in technology have expanded applications in cosmetics, color imaging, and medical diagnostics—where accurate measurement, perception, and reproduction of facial features are essential. This workshop brings together experts from academia and industry to address current challenges in facial appearance. Topics span skin color perception, spectral reflectance features, gloss evaluation, and inclusive skin tone representation. Through interdisciplinary perspectives, the workshop explores how skin tones vary, how these variations are perceived across contexts, and how they relate to visual preferences. A comprehensive understanding of skin’s optical and perceptual attributes—across age, ethnicity, and viewing conditions—is increasingly vital for developing effective tools, products, and diagnostic systems. The goal of this workshop is to foster dialogue and share innovations in the measurement, modelling, and interpretation of facial appearance, contributing to both scientific knowledge and practical applications.
CONFIRMED SPEAKERS
Kumiko Kikuchi is a research scientist at SHISEIDO Global Innovation Center, Japan. She graduated in information processing and computer sciences at Chiba University, then joined SHISEIDO Co., Ltd., after which she went on to receive a PhD in engineering from Chiba University. Kikuchi was a visiting researcher at the Norwegian Colour and Visual Computing Laboratory, Norwegian University of Science and Technology. Her research interests lie in skin color, particularly skin color perception, the development of measurement methods, and spectral imaging of human skin. She is a member of the Color Science Association of Japan (CSAJ). Kikuchi received the 2022 Charles E. Ives Journal Award from IS&T.
Yoko Mizokami is a professor at the Graduate School of Informatics, Chiba University, Japan. She received a PhD in engineering from Ritsumeikan University in Japan, after which she was a postdoctoral fellow at the University of Nevada, Reno in the Department of Psychology. She then moved to Chiba University. Her interests lie in color vision, color science, and vision in natural environments, with current research topics in color constancy, colorfulness adaptation, the influence of lighting on object appearance, the appearance of skin color and texture, and color vision deficiency. Mizokami is currently a member of the Board of Directors of the International Colour Vision Society (ICVS) and an associate director and official member of CIE Division 1.
Norimichi Tsumura received a BE, ME, and DE in applied physics from Osaka University, before he became an assistant professor in the Department of Information and Image Sciences at Chiba University. He is currently an associate professor in the Department of Information and Computer Sciences at Chiba University and a researcher in PRESTO, Japan Science and Technology Corporation (JST). He has been a visiting associate professor at the University of Rochester and a visiting researcher at Columbia University. He became an IS&T Fellow in 2012. Tsumura is interested in color image processing, material appearance, computer vision, computer graphics, and biomedical optics.
Changjun Li is currently a research fellow at the School of Design, University of Leeds, UK. He received his BS, MS, and PhD in computational mathematics from Peking University (China), the Chinese Academy of Science, and Loughborough University (UK), respectively. His current research interests are color and imaging sciences.
Yan Lu is a research fellow at the University of Leeds. She received her BE in Electrical Engineering and Automation and MS in Electric-Optical Measurement and Control Technology from Fudan University, after which she completed her PhD in Colour and Imaging Science at the University of Leeds. Prior to her current position, she worked at the University of Manchester on human color vision in Virtual Reality (VR). Her research focuses on skin color and facial appearance, particularly in measurement, 2D and 3D reproduction, cross-cultural perception modelling, and their applications across different technologies. She is a member of CIE TC 1-92, measurement of human skin color, and the Reportership for CIE Division 1, DR 1-77, memory skin color and its acceptability boundaries.
Théo Phan Van Song is a color scientist at L'Oréal. He earned his PhD, focusing on optical models for appearance management of printed materials. His work at L'Oréal encompasses developing color prediction models for cosmetics, advancing methods for in vitro and in vivo color measurements, and conducting research to understand consumer color preferences in makeup and hair color.