발의 싱글 카메라 이미지로부터 구두 골 설 계를 위한 발의 형상 파라미터 도출

학위논문 (석사)-- 서울대학교 대학원 : 기계항공공학부, 2017. 2. 이건우.Customized products with 3D scanning technology are becoming more common because the sizes of each person's feet and hands are different and people tend to seek more comfortable product that fit to themselves. With 3D scanning technology, achieving 3D cad model becomes easier. The various 3D scanning methods are divided according to objects to be reconstructed and its applications. This paper focuses on derivation of shape parameters for design corresponding shoe-last from foot images captured by a hand-held camera instead of using an expensive foot scanner, or using special kit. After capturing foot images with multiple directions, it will the reconstructed foot model using space carving algorithm to obtain 3D model. Through obtained 3D model will extract five foot measurements that are commonly used when manufacturing a shoe-last. Five foot measurements are foot length, foot width, ball girth, instep height and instep girth, and these measurements will be compared with traditional method and method used 3D foot scanner to prove the usability. The average tolerance difference compare to 3D digital foot scanner was ±2.55mm which is allowable tolerance when making shoe-last.Chapter 1. Introduction 1 Chapter 2. Related work 4 2.1. Foot scanning with digital foot scanner 4 2.2. Foot scanning with structured from motion(SFM) 4 2.3. Foot scanning with single camera using special set up 8 Chapter 3. Approach 10 3.1. Object image sequence 11 3.2. Camera calibration 12 3.3. Volumetric 3D reconstruction 15 3.4. 3D model polygonization 17 3.5. Shape/parameter extraction 18 Chapter 4. Results 22 4.1. 3D foot models with proposed method 22 4.1.1. Experiment setup 22 4.1.2. Shape and paramters with proposed method 22 4.2. Comparison with exisiting methods 28 Chapter 5. Discussion 33 Chapter 6. Conclusion 36 Bibliography 59 Abstract in Korean 40Maste