Algorithm Development for Measuring Facial Wrinkles Using Image Analysis

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12607
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Rehabilitation science/Welfare engineering
• Research Institution: Tokyo Polytechnic University
• Principal Investigator: Moriyama Tsuyoshi 東京工芸大学, 工学部, 准教授 (80449032)
• Co-Investigator(Renkei-kenkyūsha): OKUDA Itsuko 国際医療福祉大学, 放射線診断センター, 准教授 (40594213) ; TAKAHASHI Keiko 東京工芸大学, 工学部, 教授 (00188004)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 顔面シワ / 画像計測 / 皮下組織 / 三次元復元 / 断層画像 / 表情筋 / 可視化 / 美容医学

Outline of Final Research Achievements

Recent progress on the technology of tomographic images has enabled to capture the detailed structure of subcutaneous tissues that causes facial sags and wrinkles. An image database that contains seventy sets from sixty-six people of X-ray computed tomography images (CT scans), magnetic resonance images (MRIs), and camera images of frontal faces has been developed in this research, with which an algorithm that estimates the position of nasolabial furrow that results from the structure of subcutaneous tissues of mainly zygomatic major muscle has been developed using image analysis technique. It reconstructs the three dimensional structure using the Shade-from-Shading method and locates the nasolabial furrow using the prior knowledge of the relative position of the furrow to that of zygomatic major muscle (subcutaneous tissue) and those of other facial organs.

Free Research Field

医用工学