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研究生: 戴源助
Yuan-Chu Tai
論文名稱: 從立體人體雷射數位模型中自動擷取與辨識特徵點之方法
Automatic Detection and Labeling of Anatomical Landmarks on Human Model from 3D Laser Digitizer
指導教授: 楊熙年
Shi-Nine Yang
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: 2001
畢業學年度: 89
語文別: 中文
中文關鍵詞: 自動擷取與辨識人體數位模型
外文關鍵詞: automatic detection and labeling, human model, 3d laser digitizer
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  • 三維掃描技術在人體工學、醫學和電腦動畫上的應用日趨廣泛,它能迅速地建立精確而完整的人體表面三維影像資料以供統計分析之用,或是用來重建逼真的三維人體模型,但是三維掃描器所產生的大量資料卻常常會因為過於原始而難以利用。如果沒有適當的軟體處理,研究人員根本就無法從這麼龐大的資料獲得有用的資訊。
    在這篇論文中,我們利用影像分析的理論提出一套強韌、快速、自動在三維數位人體模型中偵測並辨識出標誌點的軟體,利用這套系統,統計人員可以藉著定義希望測量尺寸的起始標記點而簡單地得到人體三維模型資料庫中該尺寸的統計資訊。同時,動畫師也可以藉著定義活動關節的位置並配合人體掃描模型而迅速地製作詡詡如生的三維人體電腦動畫。


    Recently, 3D scanning technology plays more and more important role in ergonomics, medicine and computer animation. It can generate precise and complete 3D human body surface data for analysis or reconstructing realistic human model, but a regular 3D whole body scanning usually contains about one million data point, researchers are nearly impossible to gather useful information without proper software aided.
    We propose a reliable, fast and automatic landmarks detection and identification system on laser digitized human model based on image processing and computer vision. With this system, researchers can easily gather desired measurement statistics from 3D human body database by assign corresponding terminal markers. Meanwhile, animators can product realistic computer animation efficiently by combining pre-defined joints markers, motion capture technology and scanned human model.

    中文摘要 I ABSTRACT II 致謝詞 III 目錄 IV 圖表目錄 V 1. 序論 1 1.1 研究動機與目標 1 1.2 論文架構 2 2. 背景知識研究 3 2.1 三維掃描技術 3 2.2人體模型上的自動標記法 6 2.3 機率張弛的基礎理論 6 3. 標記點的自動偵測與辨識 11 3.1 系統架構與流程 11 3.2 前置處理 12 3.3 偵測標記點 13 3.3.1 定義標記點顏色特徵 13 3.3.2 計算初始機率 14 3.3.3 反覆修正 15 3.3.4 篩選和分群 17 3.4 辨識標記點 20 3.4.1建立標記點名稱樣板 21 3.4.2 計算初始機率 – 排序極座標 22 3.4.3 計算初始機率–排序方格座標 25 3.4.4 反覆修正 29 3.4.5指定標記點名稱 32 4. 實驗結果 35 5. 結論和未來發展 36 參考文獻 37

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