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研究生: 陳英傑
Chen Ying-Chieh
論文名稱: 藉由影像重建三維典藏文物模型以及互動式即時繪圖系統
Image-Based Model Acquisitin and Interactive Rendering for building 3D digital Archives
指導教授: 張鈞法
Chang Chun-Fa
口試委員:
學位類別: 碩士
Master
系所名稱: 電機資訊學院 - 資訊工程學系
Computer Science
論文出版年: 2005
畢業學年度: 93
語文別: 英文
論文頁數: 25
中文關鍵詞: 藉由影像重建三維模型即時繪圖系統
外文關鍵詞: Image based Modeling, interactive rendering
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  • 近年來,資訊科技的進步,改善了人類的生活。除了在科技上的享受,人們也越來越重視科技在人文上的應用。在數位博物館中,人們也越來越不能滿足只有平面的資料,開始要求有立體的展示,所以我們因為這個要求而嘗試著去設計了一套系統來完成這項任務。
    在這篇論文中,我們提出一個可以建立並展示博物館中典藏文物的三維立體資料的系統,透過這個系統可以保存傳統技術無法保存的玉質文物以及陶瓷文物。此外,我們還希望這個系統可以很容易攜帶和設定,這樣就可以很方便的拿到各個博物館和各種收藏需要數位化的文物的地方使用。
    在傳統的建立三維模型的技術中,常常受到物體表面材質的限制而無法完成,亦或是透過在物體表面上塗上一些顏料來達成目的。這些技巧在國家級文物的數位典藏上都是不被允許的。在我們設計的系統中,我們除去了物體表面材質的這項限制,可以做到不論物體的表面材質是什麼都可以建立其三維模型,並且在虛擬平台上展示。我們的系統的輸入資料是由手持相機拍的一組環物相片,因此這個系統是很容易設定並帶著走的。
    最後,我們的結果包含兩個在台北鶯歌陶瓷博物館實地拍攝的兩個陶瓷品。此外,我們的方法也適用於已經存在的照片,這裡我們也使用來自故宮博物館提供的翠玉白菜的QuickTime VR的資料作為例子。


    We demonstrate a process and a system for building three-dimensional (3D) digital archives of museum artifacts. Our system allows the targeted audience to observe the digitized 3D objects from any angle and at any distance, while still conveys the textures and the material properties with high fidelity. Our system acquires input images mainly with a handheld digital camera. Therefore it is portable and easy to set up at the museum sites. The results we show include two digitized art pieces from the Yingko Ceramics Museum at Taipei County, Taiwan. Our system can also use a QuickTimeVR object movie as the initial input, which we demonstrate using the Jadeite Cabbage data from the National Palace Museum.

    Contents Chapter 1 Introduction............................................................................................. - 1 - 1.1 Problem Description ................................................................................... - 2 - 1.2 System Framework ..................................................................................... - 2 - Chapter 2 Background and Related Work ........................................................... - 5 - 2.1 Model Acquisition....................................................................................... - 5 - 2.2 Rendering.................................................................................................... - 7 - 2.3 Image-Based Visual Hull ............................................................................ - 9 - Chapter 3 Data Acquisition and Calibration ....................................................... - 10 - 3.1 Data Acquisition........................................................................................ - 10 - 3.2 Calibration................................................................................................. - 10 - 3.2.1 Photographs from Hand-Held Cameras ......................................... - 10 - 3.2.1 QuickTime VR Dataset.................................................................. - 13 - Chapter 4 Model Reconstruction ......................................................................... - 16 - 4.1 Image-based Visual Hull........................................................................... - 16 - 4.2 Triangulation............................................................................................. - 17 - Chapter 5 Rendering ............................................................................................. - 19 - 5.1 Light Field Mapping ................................................................................. - 19 - 5.2 The Inputs of LFM.................................................................................... - 20 - Chapter 6 Results................................................................................................... - 22 - Chapter 7 Conclusion and Future Works ........................................................... - 25 -

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