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

• 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
• Project Status: Completed (Fiscal Year 2014)
• Budget Amount: ¥5,330,000 (Direct Cost: ¥4,100,000、Indirect Cost: ¥1,230,000); Fiscal Year 2014: ¥130,000 (Direct Cost: ¥100,000、Indirect Cost: ¥30,000); Fiscal Year 2013: ¥2,990,000 (Direct Cost: ¥2,300,000、Indirect Cost: ¥690,000); Fiscal Year 2012: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
• Keywords: 肌 / 質感 / 解析 / 主成分分析 / 顔画像 / 個性 / 光散乱 / ３次元

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.

Research Products

• [Journal Article] Principal component analysis for whole facial image with pigmentation separation and application to predict the facial images in various ages (2014)
  • Author(s): 5.Saori Toyota, Izumi Fujiwara, Misa Hirose, Nobutoshi Ojima, Keiko Ogawa-Ochiai, Norimichi Tsumura
  • Journal Title: Journal of Imaging Science and Technology Volume: 58 Pages: 0205031-11
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Measuring oxygen saturation of skin with advancing age using iterative optical path-length matrix method" (2013)
  • Author(s): Satoshi Yamamoto, Shumpei Watanabe, Izumi Fujiwara, Norimichi Tsumura, Tetsuo Akiba, Keiko Ogawa-Ochiai
  • Journal Title: Artif Life Robotics Volume: 18 Pages: 165-171
  • Peer Reviewed
• [Presentation] Principal component analysis for pigmentation distribution in whole facial image and prediction of the facial image in various ages (2013)
  • Author(s): 1.S Toyota, I Fujiwara, M Hirose, N Ojima, K Ogawa-Ochiai, N Tsumura
  • Organizer: Color and Imaging Conference
  • Place of Presentation: USA, Albuquerque
• [Patent(Industrial Property Rights)] 顔画像分析方法及び顔画像分析装置 (2013)
  • Inventor(s): 津村他
  • Industrial Property Rights Holder: 千葉大学，花王株式会社
  • Industrial Property Rights Type: 特許
  • Industrial Property Number: 2013-110352
  • Filing Date: 2013-05-24