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.
