博碩士論文 108232005 詳細資訊




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姓名 潘昱竣(Yu-Jun Pan)  查詢紙本館藏   畢業系所 照明與顯示科技研究所
論文名稱 透過光場相機重建多維度資訊
(Reconstruct a multi-dimensional information by the light field camera)
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摘要(中) 科技技術日新月異,追求快速與方便,隨著工業製造的深入推進,在工業相機的應用上提出了更高層次的需求。普通工業相機,已經無法完全滿足工業應用要求。最常見的例子如有些玻璃以及塑膠檢測,在一般可見光影像上,是看不出任何刮傷與髒污,但在偏振光影像下,卻能清晰可見;亦或是藥錠劑和鋁包裝之間可能存在著反光與眩光等問題,一般檢測下會有錯誤判斷,但在偏振光下,因為偏光程度不同,因此也很容易辨別出藥錠劑是否被填充。由以上可知光的偏振提供了極其豐富的資訊。
然而,現階段的設備系統,都有擁著系統目的的專一性,如工業偏振相機,只能拍攝偏振影像,如需有其他需求時,就必須架設另一套系統,無法在同一套系統中得到多的資訊。
為了提高所取得的資訊,克服系統設備上的限制,本研究使用改良式光場相機(Light Field Camera)的光學系統架構,搭配線偏振片,在一張影像中,得到四張不同偏振角度的影像,計算待測物件的偏振影像和偏振角度,然而,也利用光場相機本身擁有的視差優點,在虛擬空間中重建物件,藉此在一套系統中,得到物件的偏振影像、偏振角度、三維重建,也可在三維重建上,套用偏振影像、偏振角度,達到多維度資訊呈現。
摘要(英) The science and technology are changing with each passing day. the pursuit of speed and convenience, with the in-depth advancement of industrial manufacturing, has put forward higher-level requirements in the application of industrial cameras. Ordinary industrial cameras can no longer fully meet the requirements of industrial applications. The most common example is the detection of some glass and plastics. On the general visible light image, no scratches and dirt can be seen, but under the polarized light image, it can be clearly seen; or it is a combination of medicine tablets and aluminum packaging. There may be problems such as reflection and glare. Generally, there will be wrong judgments under the test, but under polarized light, because the degree of polarization is different, it is easy to distinguish whether the lozenge is filled. It can be seen from4 the above that the polarization of light provides extremely rich information.
However, the current equipment system has the specificity of the purpose of the system. For example, an industrial polarization camera can only shoot polarized images. If there are other requirements, another system must be set up. It cannot be in the same system. Get more information.
In order to improve the information obtained and overcome the limitations of the system equipment, this research uses an improved light field camera (Light Field Camera) optical system architecture, with a linear polarizer, in an image, four different polarization angles are obtained. Image, calculate the polarization image and polarization angle of the object under test, however, it also uses the parallax advantages of the light field camera itself to reconstruct the object in the virtual space, thereby obtaining the polarization image, polarization angle, and polarization angle of the object in a system. Three-dimensional reconstruction can also apply polarized images and polarization angles to three-dimensional reconstruction to achieve multi-dimensional information presentation.
關鍵字(中) ★ 光場相機
★ 三維重建
★ 偏振影像
關鍵字(英) ★ light-field camera
★ 3D reconstruction
★ polarization image
論文目次 摘要 I
Abstract II
致謝 III
目錄 IV
第一章 緒論 1
1.1 研究目的與動機 1
1.2 文獻回顧與探討 3
1.3 論文架構 7
第二章 實驗原理簡介 8
2.1單一相機系統 8
2.1.1針孔相機成像 8
2.2雙相機系統 11
2.3光場相機系統 13
2.4半全域匹配演算法 14
2.5偏振原理 16
第三章 實驗方法與架構 17
3.1系統架構 17
3.2影像處理 19
3.2.1影像校正處理 20
3.2.2 CMOS擷取影像 22
3.2.3各影像之間的對極幾何 22
3.2.4 RGB影像轉灰階影像 23
3.2.5使用半全域演算法計算深度 23
3.2.6各深度影像之間的交集 24
3.2.7三維重建影像 24
3.2.8同像素點計算偏振 25
3.3系統樣本簡介 25
第四章 結果分析與討論 27
4.1系統實際影像與處理 27
4.2系統三維影像 31
4.3系統偏振影像 32
4.4各項樣品影像 38
4.5影像組合 50
第五章 結論 52
第六章 參考文獻 54
附錄A 57
參考文獻 [1]ClausBrenner,’’ Building reconstruction from images and laser scanning,’’ Volume 6, Issues 3–4, March 2005, Pages 187-198
[2]Ildikó Süveg,’’ Reconstruction of 3D Building Models from Aerial Images and Maps,’’ Publications on Geodesy 53
[3]Rafik Gouiaa ,and Jean Meunier,’’ 3D reconstruction by fusioning shadow and silhouette information,’’ 2014 Canadian Conference on Computer and Robot Vision
[4]Yizhou Yu and Johnny T. Chang,’’ Shadow Graphs and Surface Reconstruction,’’ A. Heyden et al. (Eds.): ECCV 2002, LNCS 2351, pp. 31–45, 2002.
[5]JoaquimSalvia,SergioFernandeza,TomislavPribanicb,and XavierLladoa,’’ A state of the art in structured light patterns for surface profilometry,’’ Volume 43, Issue 8, August 2010, Pages 2666-2680
[6] Jason Geng ,Structured-light 3D surface imaging: a tutorial.
[7] T. Yoshida and T. Fukao, "Dense 3D reconstruction using a rotational stereo camera", 2011 IEEE/SICE International Symposium on System Integration (SII), pp. 985-990, 2011.
[8]Makoto Kimur and Hideo Saito,’’ 3D Reconstruction based on Epipolar Geometry’’, MVAZOOO IAPR Workshop on Machine Vision Applications, Nov. 28-30,2000, The University of Tokyo, Japan
[9]A. Harjoko, R. M. Hujja and L. Awaludin, "Low-cost 3D surface reconstruction using Stereo camera for small object," 2017 International Conference on Signals and Systems (ICSigSys), 2017, pp. 285-289, doi: 10.1109/ICSIGSYS.2017.7967057.
[10]Lawrence B. Wolff, Todd A. Mancini, Philippe Pouliquen, and Andreas G. Andreou,’’ Liquid Crystal Polarization Camera ‘’,IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, VOL. 13, NO. 2, APRIL 1997
[11] Valery V. Tuchin, Lihong V. Wang,and Dmitry A. Zimnyakov,’’ Optical Polarization in Biomedical Applications’’.
[12] https://www.gushiciku.cn/dl/1lppq/zh-tw
[13] http://www.sunnic.com.tw/chinese/05_news/02_detail.php?NID=251
[14] Hansung Kim, Kwanghoon Sohn’’3D reconstruction from stereo images for interactions between real and virtual objects’’, Image Communication 20 (2005) 61–75
[15] Hansung Kim, Seung-jun Yang and Kwanghoon Sohn,’’ 3D Reconstruction of Stereo Images for Interaction between Real and Virtual Worlds’’,
[16] Jason C. Yang, Matthew Everett , Chris Buehler ,and Leonard McMillan,’’ A Real-Time Distributed Light Field Camera.
[17] Todor Georgeiv and Chintan Intwala,’’ Light Field Camera Design for Integral View Photography.
[18]Ren Ng, Marc Levoy, Mathieu Brédif, Gene Duval, Mark Horowitz, Pat Hanrahan,’’ Light Field Photography with a Hand-held Plenoptic Camera
[19] E. N. Marieb and K. N. Hoehn, Human Anatomy & Physiology (Pearson, 2012).
[20] Edward H. Adelson and James R. Bergen,’’ The Plenoptic Function and the Elements of Early Vision’’, Computational Models of Visual Processing (pp. 3-20). Cambridge, MA: MIT Press (1991).
[21] Xavier Armangue´, Joaquim Salvi, ‘’Overall view regarding fundamental matrix estimation’’, Image and Vision Computing 21 (2003) 205–220
[22]What Is Camera Calibration?
https://www.mathworks.com/help/vision/ug/camera-calibration.html
[23] Matt Yonug,’’ The pinhole camera’’,Reprinted from The Physics Teacher,December,1989,pp.648-655
[24] H. Hirschmuller and D. Scharstein, “Evaluation of Cost Functions for Stereo Matching,” in IEEE Conference of Computer Vision and Pattern
Recognition, 2007, 1-8.
[25] 陳育菘,廖育昇,徐子建,立體視覺特徵點比對演算法分析與實現,中華民國第十六屆車輛工程學術研討會論文集,B2-007,台北,台灣,2011。
[26] H. Hirschmuller, “Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information,” in IEEE Conference of Computer
Vision and Pattern Recognition, 2005, vol. 2, 807-814.
[27] H. Hirschmuller, “Stereo Processing by Semi-Global Matching and Mutual Information,” in IEEE Transactions of Pattern Analysis and Machine Intelligence, 2008, vol. 30, 328-341.
指導教授 陳思妤(Szu-Yu Chen) 審核日期 2021-12-3
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