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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 吳家麟(Ja-Ling Wu) | |
| dc.contributor.author | Shun-Xuan Wang | en |
| dc.contributor.author | 王舜玄 | zh_TW |
| dc.date.accessioned | 2021-06-16T13:45:28Z | - |
| dc.date.available | 2018-07-26 | |
| dc.date.copyright | 2013-07-26 | |
| dc.date.issued | 2013 | |
| dc.date.submitted | 2013-07-09 | |
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/62389 | - |
| dc.description.abstract | 人們可以利用許多種類的攝影器材來為真實物件拍攝其可在電腦中 使用的三維模型 (3-D volumetric model),但是沒有任何一種現存可以用 來拍攝三維模型的攝影機可以從鏡面反射物體 (specular object) 上得到 良好的三維模型,因此我們利用可同時獲取色彩資訊 (color map) 與深 度資訊 (depth map) 的彩色暨深度攝影機 (RGB-D camera) 製作針對鏡面 實物的三維掃瞄架構。既使彩色暨深度攝影機獲取的深度資訊存在以 下兩個主要的問題:雜訊 (noise) 與空洞 (hole),而且這些問題在鏡面 實物的拍攝時會更加嚴重,但是我們提出的系統可以整合我們在色彩 資訊中得到的視覺線索 (visual cue) 來重建這些被破壞的深度資訊。我 們的實驗結果顯示我們提出的系統能夠比其它先前的相關研究重建出 更接近於原實物的三維模型。 | zh_TW |
| dc.description.abstract | 3-D volumetric models for real objects can be obtained through many types of cameras; however, none of them operates well when the scanning target is a specular object. The proposed 3-D scanning system uses a RGB- D camera in which both color values (color map) and depth values (depth map) are acquired simultaneously. Even though the depth maps captured by RGB-D cameras are both noisy and hole-existing and the specular surfaces of objects deteriorate these negative properties, the proposed system integrates visual cues from color maps to rebuild the ruined depth maps. Experimental results show that the rebuilt 3-D models are closer to the original objects than other previously related works did, and even if laser scanners are used. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T13:45:28Z (GMT). No. of bitstreams: 1 ntu-102-R00944050-1.pdf: 1219131 bytes, checksum: 65f3449dfb0ac1794723c3ee48d3ded8 (MD5) Previous issue date: 2013 | en |
| dc.description.tableofcontents | 誌謝 ii
摘要 iii Abstract iv 1 Introduction 1 1.1 3-D Scanning ................................ 1 1.2 3-D Scanning for Specular Objects..................... 2 2 Related Works 5 2.1 Related Image Processing.......................... 6 2.2 RGB-D Camera Processing......................... 6 2.3 3-D Shape From Specular Objects ..................... 7 3 The Proposed Approach 8 3.1 Visual Cues Integration from Color and Depth Information . . . . . . . . 9 3.2 Reflectance Similarity ........................... 10 3.3 Surface Reconstruction........................... 14 3.3.1 Energy Function of the Labeling Problem . . . . . . . . . . . . . 14 3.3.2 Data Term.............................. 15 3.3.3 Smooth Term............................ 16 3.3.4 Implementation Details....................... 16 3.4 Edge-Preserved Depth Value Inpainting .................. 17 3.5 3-D Formation ............................... 17 4 Experiments and Results 19 4.1 Experimental Setting ............................ 19 4.2 Ground Truth ................................ 20 4.3 The Weighting Factor α ofThe Energy Function. . . . . . . . . . . . . . 21 4.4 Comparison With Other Algorithms .................... 25 4.5 Discussion.................................. 34 5 Discussions and Conclusions 35 5.1 Limitation and Future Work ........................ 35 5.2 Conclusions................................. 36 Bibliography................................. 37 | |
| dc.language.iso | en | |
| dc.subject | 雙邊濾波器 | zh_TW |
| dc.subject | 圖形切割演算法 | zh_TW |
| dc.subject | 鏡面反射物體 | zh_TW |
| dc.subject | 訊號重建 | zh_TW |
| dc.subject | 三維物件掃瞄 | zh_TW |
| dc.subject | 彩色攝影機 | zh_TW |
| dc.subject | 深度攝影機 | zh_TW |
| dc.subject | 圖形處理器 | zh_TW |
| dc.subject | Graph Cut Algorithm | en |
| dc.subject | 3D scanning | en |
| dc.subject | GPU | en |
| dc.subject | Depth Cameras | en |
| dc.subject | RGB Camera | en |
| dc.subject | Signal Reconstruction | en |
| dc.subject | Specular Objects | en |
| dc.subject | Bilateral Filter | en |
| dc.title | 使用彩色暨深度攝影機製作鏡面物體之三維掃描儀 | zh_TW |
| dc.title | An RGB-D Camera Based 3-D Scanner for Specular Objects | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 101-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 朱威達(Wei-Ta Chu),鄭文皇(Wen-Huang Cheng),胡敏君(Min-Chun Hu) | |
| dc.subject.keyword | 三維物件掃瞄,圖形處理器,深度攝影機,彩色攝影機,訊號重建,鏡面反射物體,雙邊濾波器,圖形切割演算法, | zh_TW |
| dc.subject.keyword | 3D scanning,GPU,Depth Cameras,RGB Camera,Signal Reconstruction,Specular Objects,Bilateral Filter,Graph Cut Algorithm, | en |
| dc.relation.page | 41 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2013-07-09 | |
| 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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|---|---|---|---|
| ntu-102-1.pdf 未授權公開取用 | 1.19 MB | Adobe PDF |
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