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研究生:李忠祐
研究生(外文):Chung-Yu Lee
論文名稱:使用共線攝影機系統及景深範圍重建三維場景之技術
論文名稱(外文):3D Panoramic Reconstruction Using Multi-Baseline Camera System and Depth of Field
指導教授:陳稔陳稔引用關係賈叢林賈叢林引用關係
指導教授(外文):Zen ChenTsorng-Lin Chia
學位類別:碩士
校院名稱:國立交通大學
系所名稱:資訊工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2002
畢業學年度:90
語文別:中文
論文頁數:70
中文關鍵詞:多基線立體對應三維場景重建景深範圍
外文關鍵詞:multi-baseline stereo3D scene reconstructiondepth of field
相關次數:
  • 被引用被引用:3
  • 點閱點閱:555
  • 評分評分:
  • 下載下載:135
  • 收藏至我的研究室書目清單書目收藏:1
本論文針對多基線立體提出以影像景深範圍資訊降低原先多攝影機特徵點比對的複雜度,同時也提昇特徵點比對的正確性。有了比較好的特徵點比對結果,即可得到更好的三維重建結果。
此外,我們將多基線攝影機系統以基線上一點為中心旋轉,每隔固定旋轉角度間隔拍攝一組環境影像,一方面整合各組影像之三維重建資訊成為更完整的重建結果,另一方面對不同組影像間的場景重疊部分做交互檢查,算出更穩定正確的結果。
利用三維環場的重建結果,可以變動視點計算出新的場景影像。
我們將以實驗來驗証我們的方法。
This thesis presents a method of using depth of field to reduce the computational complexity of multi-baseline stereo matching and to raise the correctness rate of feature matching at the same time. With the improved feature matching result, we can reconstruct a better 3D panoramic model of the scene.
Next, let the multi-baseline camera set be rotated around one endpoint of the baseline to shoot a sequence of images of the scene in an increment of a fixed rotation angle. On the one hand more complete panoramic model of the scene can be reconstructed by integrating the 3D reconstruction results obtained at each shoot, and on the other hand more robust reconstruction is derived by executing the cross-reference checking on the reconstructed parts which are redundant during reconstruction.
New images can be generated at different viewpoints with the 3D panoramic scene reconstruction. Experimental results are provided to demonstrate the proposed method.
摘要(中文) i
摘要(英文) ii
誌謝 iii
目錄 iv
圖目錄 vi
一、 緒論 1
1.1 研究動機與目標 1
1.2 研究流程概述 4
1.3 論文組織 5
二、多攝影機系統取像與特徵點選取 6
2.1 多攝影機系統 6
2.1.1 多攝影系統架構 6
2.1.2 攝影機參數 7
2.2產生不同景深範圍影像 10
2.2.1成像景深(Depth of Field)定義 10
2.2.2 攝影機景深範圍求取 13
2.2.3 產生不同景深範圍影像之方法 15
2.2.3.1 使用短景深相機直接產生 15
2.2.3.2 使用長景深相機間接產生 15
2.3 特徵點選取 17
2.4 執行流程 19
三、特徵對應搜尋限制 20
3.1 多攝影機投影限制條件(Cameras projection constraint) 20
3.1.1 多攝影機幾何 20
3.1.2 搜尋空間限制 25
3.2 成像景深限制(DOF constraint) 26
3.3 離散式像素影像下的搜尋限制 29
四、不同旋轉角度間之特徵對應(Rotated feature correspondence) 30
4.1 旋轉幾何概要 30
4.2 旋轉幾何關係推導 32
4.2.1 不同旋轉角度間空間點在旋轉中心的成像幾何 32
4.2.2 不同旋轉角度間空間點在C1的成像幾何 34
4.3 旋轉後的特徵對應策略 37
4.4執行流程 38
五、三維環場模型與新視點影像 39
5.1 三維環場資料結構 39
5.2新視點影像 41
5.2.1 空間中線段投影 42
5.2.3 演算法 43
六、實驗結果 44
6.1實驗影像 44
6.1.1 三攝影機系統取像 44
6.1.2 產生不同對焦深度之影像 46
6.2 特徵點擷取 48
6.3 特徵點之間的對應 49
6.3.1 同旋轉角度之間的對應 50
6.3.2 不同旋轉角度之間的對應 51
6.4 產生三維環場模型 52
6.5 產生新視點影像 53
6.6 實驗結果討論 56
七、結論與未來工作 59
7.1 結論 59
7.2 未來工作 60
參考文獻 61
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