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研究生: 王登科
Wang, Dang-Ko
論文名稱: 三維視覺系統之誤差校正方法研究
Error Correction Methods for 3D Vision Systems
指導教授: 蔡明俊
Tsai, Ming-Jun
學位類別: 碩士
Master
系所名稱: 工學院 - 機械工程學系
Department of Mechanical Engineering
論文出版年: 2007
畢業學年度: 95
語文別: 中文
論文頁數: 69
中文關鍵詞: 折射校正旋轉軸註冊平移軸
外文關鍵詞: transitional axis, registration, refraction calibration, rotational axis
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  • 三維量測系統的應用非常廣泛,主要可分為兩大類:接觸式量測系統與非接觸量測系統,本研究主要以非接觸量測系統進行點資料之誤差校正。
    鑒於整體美觀與安全性,立體視覺系統通常在設計上加裝玻璃或透鏡來分隔掃描區域與電子零件區,此玻璃的折射現象將造成量測法的誤差。且視覺系統的高精確度與否決定此系統之評價。本研究發展一套因應光線折射的點資料校正法,遵循光線三大定律與視覺系統之深度計算方法,並導入最佳化方法來計算,以提高3D點資料之空間位置的精準度,解決玻璃造成的系統誤差。
    掃描系統配備了旋轉軸或平移軸來帶動量測設備,可以達成廣域性、有效率的物體重建目的。針對不同類型之掃描系統,我們提出一套尋找主軸參數的方法,並加入四元數旋轉法與最佳化方法,達到點資料註冊(Registration)之目的,相對地提升物體重建之技術。

    Two types of 3D measurement systems are commonly used for industrial applications: contact type and non-contact type. The aim of this research is to reduce errors and correct the 3D-points captured by optical non-contact type measurement system.
    In 3D optical measurement system, glasses are usually set up between the electronic components and the scanning area to prevent contamination and for safety/appearance reasons. The value of a 3D measurement system depends on its accuracy. In this thesis, we developed a calibration method for light refraction due to glasses. The method includes an optimization skill for deciding the refraction parameters. This method improves the accuracy of the vision system by reducing the errors cause by the glasses.
    Scan systems are commonly integrated with a rotational motor or a linear stage for wide-range scanning. But the axis of the motor may not be aligned perfectly with the principle axis of the scanner’s coordination frame. This may causes point registration problem for reconstruction of the object model. Based on quaternion representation, we proposed another optimization method to find the rotational axis or the transitional axis of the moving part. So that the scanned point clouds can be properly registered.

    摘要 I ABSTRACT II 誌謝 III 目錄 IV 圖目錄 VI 表目錄 IX 第一章 緒論 1 1.1 研究動機與目的 1 1.2 文獻回顧 2 1.3 論文綱要 3 第二章 立體視覺系統校正 4 2.1 攝影機鏡頭DISTORTION校正 4 2.2 攝影機模型與其校正參數 7 2.2.1 攝影機模型 7 2.2.2 攝影機校正參數 9 2.3 空間深度計算 11 2.3.1 雙攝影機深度計算模式 11 2.3.2 單攝影機深度計算模式 13 2.4 雷射截痕之影像處理 15 2.4.1 影像二值化 15 2.4.2 雷射線細化 16 2.5 雷射面校正 18 2.6 攝影機之間的座標轉換 20 第三章 空間點之折射校正 22 3.1 校正設備 22 3.2 最佳化方法 24 3.3 折射率參數推導 25 3.4 空間點校正 30 3.4.1 單攝影機模式之折射修正 30 3.4.2 雙攝影機模式之折射修正 33 3.5 折射修正之實驗結果 36 3.5.1 單攝影機模式之折射修正實驗 36 3.5.2 雙攝影機模式之折射修正實驗 40 第四章 系統主軸推導與點資料註冊 43 4.1 平移軸校正與點資料註冊 43 4.1.1 點資料註冊 43 4.1.2 平移軸向校正 47 4.2 旋轉軸主軸參數推導 51 4.2.1 旋轉軸推導 51 4.2.2 四元數方法 54 4.2.3 參數最佳化實驗 58 第五章 結論與未來展望 63 5.1 結論 63 5.2 未來展望 64 參考文獻 66 自述 69

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