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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/72664


    Title: 雙影像多視角結構光轉三維點資料技術發展;Development of three-dimensional modeling by duo-images and multi-view with structure light technique
    Authors: 李俊明;LEE, JUN-MING
    Contributors: 機械工程學系
    Keywords: 彩色條紋結構光;條紋編碼;Realsense;點雲;color-stripe;stripe indexing;Realsense;point cloud
    Date: 2016-12-19
    Issue Date: 2017-01-23 17:13:04 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 本研究以開發三維物體重建系統為目的。分別以彩色條紋結構光與Realsense™三維相機擷取物體點雲,並且將點雲重建維三維物體模型。
    本論文以二維相片為基礎,透過定位片校正相機之內部參數與外部參數,還原出三維成像平面,並且以投影彩色條紋結構光,以兩台相機與多重視角拍攝,透過影像辨識系統及條紋編碼系統,將二維相片的資訊,計算出物體表面三維點雲。
    此外亦透過Realsense™三維相機,擷取物體表面三維點雲,並且透過迭代最近點運算法,將多組點雲重新結合成一個完整的物體點雲,並且重建三維物體網格,而後以原始物體照片進行物體表面紋理貼圖。
    本論文以數個模型作為範例,利用本論文所提出的三維物體重建系統,拍攝物體且重建物體模型,並且比對原始物體模型,以驗證本研究之正確性。
    ;This study develops a 3-dimensional object model reconstruction system. By using color stripe structure light pattern and a Realsense™ camera to capture the object surface point cloud, and then to rebuild the 3-dimensional object model.
    The system uses a calibration plateau as reference, by capturing their 2-D images, calculates the internal and external parameters of the camera, and rebuild a 3-D imaging plane. Projecting the encoded color-stripe pattern structure light on the object, we use two cameras and multi-view in the capturing process. Through image recognition system and stripe indexing system, we calculate the 3-D point cloud of the object surface by these 2-D image data.
    We also use Realsense™ 3-D camera to capture the surface point cloud, and combine multiple sets of point clouds by iterative closed point algorithm. Rebuild the 3-D object mesh, and use origin object color images to apply surface texture.
    We use several objects as example, applying the 3-Dimension object model reconstruction system. Capture the object images and rebuild 3-D model, and compare with Rough Models to verify the accuracy of the study.
    Appears in Collections:[機械工程研究所] 博碩士論文

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