Principal component analysis for reflection components and structure in the facial image and synthesis of the facial image

2014 Fiscal Year Final Research Report

• Project/Area Number: 24560040
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Applied optics/Quantum optical engineering
• Research Institution: Chiba University
• Principal Investigator: TSUMURA Norimichi 千葉大学, 融合科学研究科(研究院), 准教授 (00272344)
• Co-Investigator(Renkei-kenkyūsha): YAMAMOTO Shoji 東京都立産業技術高等専門学校, ものづくり工学科, 教授 (70469576) ; OGAWA Keiko 金沢大学, 医学部附属病院, 教授 (30514575)
• Project Period (FY): 2012-04-01 – 2015-03-31
• Keywords: 肌 / 質感 / 解析 / 主成分分析

Outline of Final Research Achievements

In this research, principal component analysis is applied to pigmentation distributions, surface reflectance components and facial landmarks in the whole facial images to obtain feature values. Furthermore, the relationship between the obtained feature vectors and age is estimated by multiple regression analysis to modulate facial images in woman of ages 10 to 70. In the beauty industry, the synthesis of skin texture is based on these two kinds of feature values. In our previous work, we analyzed only pigmentation distributions and the reproduced images looked younger than the reproduced age in many instances by the subjective evaluation. We considered that this happened because we did not modulate the facial structures and detailed surfaces such as wrinkles. By analyzing landmarks represented facial structures and surface reflectance components, we analyze the variation of facial structures and fine asperity distributions as well as pigmentation distributions in the whole face.

Free Research Field

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