Development of techniques to measure, analyze, and reproduce the appearance of glossy and fluorescent objects

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K11893
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 61010:Perceptual information processing-related
• Research Institution: Nagano University
• Principal Investigator: Tominaga Shoji 長野大学, 企業情報学部, 研究員 (10103342)
• Co-Investigator(Kenkyū-buntansha): 田中 法博 長野大学, 企業情報学部, 教授 (90387415)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 質感 / 光沢 / 蛍光 / アピアランス / HDR画像 / 分光イメージング

Outline of Final Research Achievements

This study aimed to develop methods to measure, analyze, and reproduce the appearance of objects with gloss and fluorescence. In appearance measurement, we constructed a spectral imaging system that enables to control the light source and camera. We also constructed a system to measure object surfaces with strong gloss using a gloss meter. We further created an HDR image database of metals. In appearance analysis, we considered a mathematical model that describes the reflection and luminescence characteristics of fluorescent objects. A CNN approach was proposed to extract the appearance features of the HDR image database and predict the HDR images from LDR images. In appearance reproduction, we developed a rendering method for the appearances of fluorescent objects and metal objects with a strong gloss. The validity was confirmed through visual evaluation experiments.

Free Research Field

知覚情報処理

Academic Significance and Societal Importance of the Research Achievements

蛍光の開発手法は実用的な機器の開発につながり，また色を正しく予測できるので，複数蛍光物体の展示に有用である．金属の開発手法は，現存する飽和したLDR画像からHDR画像を生成でき，映像産業への応用が期待できる．