博碩士論文 93322086 詳細資訊

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姓名 陳正軒(Cheng-Hsuan Chen)  查詢紙本館藏   畢業系所 土木工程學系
論文名稱 以視訊影像進行三維房屋模型實景紋理敷貼之研究
(Producing Realistic Building Texture Using Video Mosaic)
★ 三維房屋模型實景紋理影像製作與敷貼之研究★ 紋理輔助高解析度衛星影像分析應用於偵測入侵性植物分布之研究
★ 利用高光譜影像偵測外來植物-以恆春地區銀合歡為例★ 區塊式Level of Detail地景視覺模擬之研究
★ 高光譜影像立方體紋理特徵之三維計算★ 漸變式多重解析度於大型地景視覺模擬之應用
★ 區塊式LOD網格細化於大型地形視覺模擬之應用★ 多層次精緻度三維房屋模型之建置
★ 高光譜影像立方體於特徵空間之三維紋理計算★ 影像修補技術於牆面紋理影像遮蔽去除之應用
★ 結合遙測影像與GIS資料以資料挖掘 技術進行崩塌地辨識-以石門水庫集水區為例★ 利用近景影像提高三維建物模型之細緻化等級
★ 以地面及空載光達點雲重建複雜物三維模型★ 高精緻度房屋模型結合蟻群演算法於室內最佳路徑選擇之應用
★ 二次微分法於空載全波形光達之特徵萃取與地物分類★ 雲線擬合於全波形光達之特徵萃取與地物分類
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摘要(中) 在三維視覺展示系統的建置中,房屋模型的建立目前已有成熟的技術,但為達到更真實的效果,還須有實景紋理影像之敷貼。利用影像序列 (video sequence) 作為紋理影像來源是一快速方便的方法。而製作過程中遇到單張影像無法涵蓋整棟建物牆面時,就必須由多張影像鑲嵌而成。此外拍攝過程中遇到遮蔽物時,還需有遮蔽效應處理機制以去除及填補遮蔽之區域。最後製作完成之實景影像要經過處理方能成為適合敷貼至模型之影像。
本研究之目的在於如何利用影像序列以半自動化方式,建立完整之紋理影像並敷貼至模型上。研究方法首先對影像進行紋理校正以降低不同影像間差異來達到降低影像鑲嵌之困難度,稍後亦可直接敷貼至模型。遮蔽效應則透過影像形態學運算,當影像具對稱性時可自動計算鏡射軸進行鏡射填補,搭配GI (Greenness Index) 加強遮蔽偵測能力;無法鏡射填補區域則以鄰近像元灰度值平均填補。最後將所有紋理影像敷貼至模型,在三維虛擬空間中展示敷貼成果。
摘要(英) In order to make more realist visualization of 3D building models, the generated scenes should have texture of building facades in addition to the geometry of buildings. Using video sequences as the sources of realist texture is an effective approach. However, a few issues must be addressed in using video sequences for texture mapping in 3D visualization. If a single video frame can not cover the entire wall, individual frames need to be merged correctly to generate a complete image. When foreign objects, like trees, block the target facade, they need to be removed and the blocked areas should be recovered. Also, complete video mosaics need to be mapped onto corresponding building models.
This study developed a procedure to create texture mosaicking images semi-automatically from close-ranged video sequences for photo-realistic texture mapping of building models in 3D visualization applications. The first step was to correct geometry of images. It not only improved the mosaicking, but also facilitated the mapping transformation. The mosaicking was done using interest points detected with corner detecting algorithms and matched with distance-filtering and Normalized Cross Correlation operator. In the developed system, image morphology was used to identity mirroring axis for recovering blocked areas automatically. The resultant building models should have more accurate texture information and improved the reality and practicality of cyber city implementation
關鍵字(中) ★ 視訊影像序列
★ 影像鑲嵌
★ 遮蔽效應
★ 模型敷貼
關鍵字(英) ★ Texture Mapping
★ Image Mosaic
★ Video Sequence
論文目次 中文摘要 I
Abstract II
誌謝 III
目錄 IV
表目錄 V
圖目錄 VI
第一章 緒論 1
1.1研究動機 1
1.2研究目的 2
第二章 文獻回顧與流程介紹 4
2.1文獻回顧 4
2.2 研究流程介紹 8
2.3 論文架構 11
第三章 理論基礎 13
3.1 共同座標系統之建立 13
3.1.1 影像與模型之空間關係 13
3.1.2 Forward Mapping 14
3.1.3 Inverse Mapping 18
3.1.4 影像與影像之空間關係 19
3.2 影像鑲嵌 20
3.2.1 特徵萃取 20
3.2.2 特徵匹配 26
3.2.3 影像鑲嵌 28
3.3 遮蔽效應 30
第四章 研究方法 33
4.1 視訊影像之取得 34
4.2 紋理校正 36
4.2.1 規則牆面 37
4.2.2 非規則牆面 41
4.3影像鑲嵌 43
4.3.1 特徵點萃取 45
4.3.2 特徵點匹配 48
4.3.3 影像鑲嵌 52
4.4 遮蔽處理 54
第五章 研究成果 66
5.1 研究資料 66
5.2 研究成果 68
5.2.1 紋理校正 68
5.2.2 影像鑲嵌 70
5.2.3 遮蔽效應 78
5.3 三維展示 82
5.3.1 紋理影像總覽 82
5.3.2 三維展示 91
第六章 結論及未來展望 95
參考文獻 98
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指導教授 蔡富安(Fuan Tsai) 審核日期 2006-7-10
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