Loading...
|
Please use this identifier to cite or link to this item:
http://mitustr.lib.mitust.edu.tw:8080/ir/handle/987654321/1191
|
Title: | Kinect深度感測器於立體掃描應用 |
Authors: | 黃譯鋒 Huang, I-Feng |
Contributors: | 電機與電子工程系 |
Keywords: | Kinect 三維掃描 3D建模 3D列印技術 3D scanning 3D design 3D printing |
Date: | 2018-07-28 |
Issue Date: | 2018-08-16 13:30:23 (UTC+8) |
Abstract: | 本論文利用微軟Kinect for Xbox One感應器V2,即時掃描人像物件,建立3D立體圖檔,再結合3D列印技術(3D Printing),快速製作靜態的人像及物件的產品成型,應用於教育學術上啟發更多創意和未來發展的思維。文中主要使用的軟體是3D Builder和Kinect Fusion做模型的建模成形,兩款都是屬於Microsoft開發的軟體,但在使用上各有優缺點,故此針對不同的差異點做一個探討,透過Kinect V2深度感測器的景深和測試物件距離的分析,來比較人像模型在各個距離下的點雲(point cloud)分布數,再結合三角網格建構出模型,藉此來分析模型的平滑度和可掃描物件的理想範圍,和透過三種不同的光源做比較,折射光、散射光、環境光,來評估最佳的光源環境選擇,調校出適合待測物放置的理想位置,實驗最後的結論證實,就算不使用昂貴的3D Scan,但只要經過參數的調校和環境的設計,依舊可以建構出完整的人像模型,並綜合最後建模軟體的優缺點比較,挑選適合的3D建模軟體為最主要的目的。
This paper uses Microsoft Kinect for Xbox One sensor V2 to instantly scan portrait objects, create 3D stereo files, and combine 3D printing technology to quickly create static portraits and objects. More creativity and thinking about future development. The main software used in this article is the modeling of 3D Builder and Kinect Fusion. The depth of field of the depth sensor and the distance of the test object are used to compare the point cloud distribution of the portrait model at various distances, and then the triangle mesh is used to construct the model, thereby analyzing the smoothness and the model. The ideal range of scanned objects, compared with three different light sources, refracted light, scattered light, ambient light, to evaluate the best choice of light source environment, adjust the ideal position suitable for the object to be tested, the final conclusion of the experiment confirmed. We can construct a complete portrait model and adjust the advantages and disadvantages of the final modeling software, and select the appropriate 3D modeling software. |
Appears in Collections: | [電機與電子工程系] 學位論文
|
Files in This Item:
File |
Description |
Size | Format | |
碩士論文-黃譯鋒2018.08.16(修改3).pdf | 實驗數據 | 5959Kb | Adobe PDF | 2050 | View/Open |
|
All items in MITUSTIR are protected by copyright, with all rights reserved.
|