請用此 Handle URI 來引用此文件：
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 洪一平(Yi-Ping Hung) | |
| dc.contributor.author | Yang-Sheng Chen | en |
| dc.contributor.author | 陳煬升 | zh_TW |
| dc.date.accessioned | 2021-06-16T06:37:32Z | - |
| dc.date.available | 2019-08-01 | |
| dc.date.copyright | 2014-08-01 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2014-07-31 | |
| dc.identifier.citation | [1] M. Kouchi, 'Analysis of foot shape variation based on the medial axis of foot outline,' Ergonomics, Vol.38, No.9, pp. 1911-1920, 1995.
[2] M. Kouchi, 'Foot Dimensions and Foot Shape: Differences Due to Growth, Generation and Ethnic Origin,' Anthropological Science, 106 (Supplement), pp.161-188, 1998. [3] P. Besl, N. McKay, “A Method for Registration of 3-D Shapes,” IEEE Transactions on pattern analysis and machine intelligence, Vol.14, No.2, pp.239-255, 1992. [4] S. Rusinkiewicz, M. Levoy, “Efficient variants of the ICP algorithm, Third International Conference on 3-D Digital Imaging and Modeling,” IEEE, pp.145-152, 2001. [5] N. Gelfand, L. Ikemoto, S. Rusinkiewicz, and M. Levoy, “Geometrically Stable Sampling for the ICP Algorithm,” Fourth International Conference on 3-D Digital Imaging and Modeling, pp.260-267, 2003. [6] F. Stein, G. Medioni, “Structural indexing: Efficient 3-D object recognition,” IEEE Trans. On Pattern Analysis and Machine Int, Vol. 14 No. 2 , pp. 125-145, 1992. [7] C. S. Chen, Y. P. Huang, J. B. Cheng, “RANSAC-based DARCES: A New Approach to Fast Automatic Registration of Partially Overlapping Range Images,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.21 No.11, pp. 1229-1234, 2002. [8] K. Khoshelham, 'Accuracy analysis of Kinect depth data,' ISPRS workshop laser scanning, 2011. [9] K. Khoshelham, SO. Elberink, 'Accuracy and resolution of Kinect depth data for indoor mapping applications,' Sensors, 2012. [10] R.Y. Tsai, 'A Versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses,' IEEE Jornal of Robotics and Automation, Vol. RA-3, No. 4, pp. 323-344, 1987. [11] Z Zhang, 'A flexible new technique for camera calibration,' Pattern Analysis and Machine Intelligence, IEEE, 2000. [12] C. P. Witana, S. Xiong, J. Zhao, R. S. Goonetilleke, 'Foot measurements from 3-dimensional scans: A comparison and evaluation of different methods,' International Journal of Industrial Ergonomics, Vol. 36, No. 9, pp. 789-807, 2006 [13] K. S. Arun, T. S. Huang and S. D. Blostein, 'Least-Squares Fitting of Two 3-D Point Sets,' IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-9, NO. 5, 1987. [14] M. Kass, A.Witkin and D.Terzopoulous, 'Snakes: Active Contour Models,” International Journal of Computer Vision, pp. 321-331, 1988. [15] Laurent D. Cohen, 'On active contour models and balloons,' CVGIP, pp. 211-218, 1991 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/57196 | - |
| dc.description.abstract | 在生活中選擇一雙舒適和腳的鞋子是一個非常重要的議題，然而現在很少有些系統或是方法來準確或是有效的量測我們足部的資料，來提供我們選擇一雙適合的鞋子。在本篇論文中，我們發展一套快速的足部量測系統來獲得使用者的足部資訊。我們實作了一個快速可靠的自動對位的方法，利用有深度資訊的攝影機(RGB-D Camera)取得不同視角之3-D足部資料，重建出使用者的足部模型。透過建置的足部模型，我們可以量測足部的詳細參數，例如長度，寬度或足圍(girth)等參數。我們有設計實驗來進行我們系統表現的測試，而結果顯示我們的系統可以量測出準確且穩定的足部數值。除此之外我們將系統改為手持單台攝影機的操作方式，參與Intel Perceptual Competition獲得優異的成績。 | zh_TW |
| dc.description.abstract | Selecting a pair of comfortable shoes is a big issue in our life. However, there are few methods or system that can estimate our foot accurately to help us find the shoes. In this paper, we develop a fast foot dimension measurement system to provide useful information for selecting the shoes. Our foot measurement system uses a RGB-D Camera to obtain 3-D foot point cloud data at different view angles. We implement a fast and reliable automatic registration method to reconstruct a 3-D foot model. Based on the reconstructed 3-D foot model, we can compute the foot parameters, e.g. width, length, girth et.al. Experiences are conducted to evaluate the performance of our system. The results confirm that the performance of our system can provide a robust and accuracy foot dimension value. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T06:37:32Z (GMT). No. of bitstreams: 1 ntu-103-R01944020-1.pdf: 3157286 bytes, checksum: 0355879bd21bc1cefda807207257e865 (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 口試委員會審定書 #
中文摘要 iii ABSTRACT iv CONTENTS v LIST OF FIGURES vii LIST OF TABLES x Chapter 1 Introduction 1 Chapter 2 Fundamentals 5 2.1 Depth Cameras 5 2.1.1 Stereo Approach Depth Cameras 5 2.1.2 Time-of-Flight Approach Depth Cameras 7 2.1.3 Depth Error Experiment 8 2.2 Camera Calibration 14 2.3 General Procedure for Foot Parameters Estimation 16 Chapter 3 Foot Measurement Systems 19 3.1 Two-Camera Approach for Foot Measurement 19 3.1.1 System Introduction 19 3.1.2 System Calibration 20 3.2 Three-Camera Approach for Foot Measurement 21 3.2.1 System Introduction 21 3.2.2 System Calibration 22 3.3 Hand-Held Camera System 25 3.3.1 System Introduction 25 3.3.2 Camera Calibration 27 Chapter 4 Measurement Methods 29 4.1 Noise Removal 30 4.2 Foot Principal Axis 31 4.2.1 Principal Component Analysis Approach 31 4.2.2 Finger Feature Approach 33 4.3 Measurement of Foot Length and Width 38 4.4 Measurement of Foot Parameters 39 Chapter 5 Experiment Results 42 5.1 Experiment I 42 5.1.1 Two-Camera Approach System Experiments 42 5.1.2 Three-Camera Approach System Experiments 44 5.1.3 Hand-Held Camera System Experiments 47 5.2 Experiments II 47 5.2.1 Two-Camera Approach System Experiments 47 5.2.2 Three-Camera Approach System Experiments 49 5.2.3 Hand-Held Camera System Experiments 51 5.3 Comparison with Two Experiments 51 Chapter 6 Conclusion 54 REFERENCES 55 | |
| dc.language.iso | en | |
| dc.title | 使用彩色深度攝影機之三維足部量測 | zh_TW |
| dc.title | 3D Foot Measurement Using RGBD Cameras | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 102-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳祝嵩(Chu-Song Chen),王傑智(Chieh-Chih Wang),蘇柏齊(Po-Chyi Su),葉梅珍 | |
| dc.subject.keyword | 足部測量,深度攝影機,足圍, | zh_TW |
| dc.subject.keyword | Foot Estimation,RGBD Camera,Point cloud,Girth, | en |
| dc.relation.page | 56 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2014-07-31 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊網路與多媒體研究所 | zh_TW |
| 顯示於系所單位： | 資訊網路與多媒體研究所 | |
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| 檔案 | 大小 | 格式 | |
|---|---|---|---|
| ntu-103-1.pdf 目前未授權公開取用 | 3.08 MB | Adobe PDF |
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