線型雷射掃描與結構投影掃描於室內空間點雲建立之研究;Study on Linear Laser Line Scan and Structure Light Scan for Construction of Spatial Point Cloud

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/75221

Title:	線型雷射掃描與結構投影掃描於室內空間點雲建立之研究;Study on Linear Laser Line Scan and Structure Light Scan for Construction of Spatial Point Cloud
Authors:	林坤政;Lin, Kun-Zheng
Contributors:	光電科學與工程學系
Keywords:	三維重建;空間點雲;三角量測;影像匹配;Three-dimensional Reconstruction;Point Cloud Data;Triangulation Method;Image Matching
Date:	2017-08-24
Issue Date:	2017-10-27 17:20:33 (UTC+8)
Publisher:	國立中央大學
Abstract:	隨著科技的進步，對於室內空間資訊的需求越來越多，過去建立室內空間資訊的方法，時常受到造價昂貴、精準度不足和掃描速度緩慢等限制。在本論文中，我們基於三角測量法，分別以線型雷射掃描和結構投影掃描兩套系統建立空間點雲。兩套掃描系統皆採用主動式投射光源，適用於缺乏特徵點之環境，以建立完整之空間點雲。　　在線型雷射掃描部分，我們對量測空間投射線型雷射光，接著從雷射光反射光的變形程度，從而推出深度距離的變化，並結合旋轉平台進行旋轉掃描，以非常低的成本建立出一套高精準度的室內掃描系統；結構投影系統部分，我們利用投影機投射特殊結構圖案，並以兩台相機同時拍攝影像，利用影像匹配找出對應座標點並算出空間座標資訊。由於結構投影掃描在單次拍攝即可產生大量點雲資料，因此可以用較少拍攝次數來完成待量測空間的掃描工作，此外我們優化其影像處理過程，大量減少了建立點雲資料所需要的影像處理時間。 ;As technology advances, one of the most demands is digitalized spatial information to overcome the problem by the old methods, which are expensive, imprecise and time consuming. In this study, we use a triangulation method to build two different systems, linear laser scan system and structural light scan system, to establish the point cloud. Because both scan systems use an active projection light source, they are suitable for environments that lack feature points, so that we can construct high-quality space point cloud under such environments. 　　For the linear laser scan system, we project linear laser light to the target space, and then obtain the depth information through the deformation of the laser line. Besides, a rotating platform is implemented to do scanning. Accordingly, we have successfully built an indoor scan system at low cost and high precision. 　　Secondly, we use a projector to project a specific structure pattern and use two cameras to capture images with the structure light. Then we apply image matching scheme to find the corresponding coordinates and get the space information. Since the system can produce a large number of point cloud in a single shot, only a few images are enough to complete the scan. Finally, we optimize the image processing to speed up the process in constructing the spatial point cloud.
Appears in Collections:	[Graduate Institute of Optics and Photonics] Electronic Thesis & Dissertation

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