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인간공학적 제품 설계를 위한 한국인 머리의 3차원 템플릿 정합 이미지 데이터베이스 개발
이원섭(Wonsup Lee),정하영(Hayoung Jung),유희천(Heecheon You) 대한인간공학회 2020 大韓人間工學會誌 Vol.39 No.5
Objective: A database of Korean 3D heads was developed using a template model registration method to increase its applicability for ergonomic product design. Background: A 3D scanned head database of more than 8,500 Koreans was established through the Size Korea project since 2004. While the anthropometric information of Size Korea has been used in the design of various products, 3D scan images have been rarely used because post-processing and landmarking are needed. Method: This study proposed a hybrid template model registration method consisting of steps of (1) global registration using the bounded biharmonic weight (BBW) algorithm based on 11 manually defined landmarks and (2) local optimization using the iterative closest point (ICP) algorithm. A head template containing the locations of 43 head and facial landmarks was used to create a template-registered head image database of 8,536 males and females (age: 7 to 77) of Korean civilians. Results: The template-registered images of Korean heads including the 43 anthropometric landmarks for anthropometric measurement of head dimensions were generated. The template-registered heads satisfy high correspondence in terms of the mesh structure. Conclusion: This study proposed a method of template model registration for the head and a database containing 8,536 template-registered heads was established by applying the proposed method. Application: The head database would be applied for anthropometric measurement of the head, analysis of a head sizing system, development of representative head models, analysis of shape variation, virtual evaluation of head wearable products, and design of ergonomic products such as medical masks, goggles, prosthetics, personal protective equipment, and sportswear, which require good fit and comfort.
인간공학적 제품 설계를 위한 3차원 탬플릿 인체 모델의 활용
이원섭(Wonsup Lee),정하영(Hayoung Jung),유희천(Heecheon You) 대한인간공학회 2020 大韓人間工學會誌 Vol.39 No.3
Objective: This study aims to provide a comprehensive review of the literature on template model registration technologies and their applications in ergonomic product design. Background: The original 3D scan data of the human body has limitations in terms of its applicability due to lacking quality of mesh (e.g., missed scan areas and noise) and inconsistent postures between participants. Template model registration technologies are used to complement the lacking quality of raw 3D scan data in anthropometric research and ergonomic product design. Method: A literature review was conducted on 66 papers, which were selected by screening titles and abstracts of papers searched by keywords including template model, template matching, and template registration within ergonomics and computer graphics domains in Scopus. Results: A human template model generally consists of five elements: (1) point-cloud and mesh, (2) reference points, (3) skeletal structure of the body, (4) body segment, and (5) skin deformation characteristics. The template model is matched to a target image with a particular size, shape, and posture using a template model registration technology. Conclusion: The template model registration technology has a great potential in its applicability to ergonomic design and evaluation of products for a comfortable fit to the human body. Application: The template model registration technology can be effectively applied to the establishment of parameterized 3D human body database, automatic measurement of body sizes, analysis of the variation of body shapes, predictive analysis of the body posture, and customized design of a product.
Quality Measurement Of Template Models And Automatic Template Model Selection
Hyohoon Choi,Ram Mohan Gupta,Sungho Suh 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
Template matching is a common method of finding the corresponding points between images for image alignment. Normally the template selection are done manually. This paper introduces a novel method of measuring the quality of a template and the method of selecting template models automatically using the measure. We define the qualities of a good template and derive the score function that measures the qualities using the edge information. This is a generic algorithm to suit to any industrial vision application.