以視訊影像進行三維房屋模型實景紋理敷貼之研究

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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)

相關論文

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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

參考文獻

陳衍豪，立體航測影像直線與圓弧輪廓建物半自動之三維模型重建，國立中央大學土木工程研究所碩士論文，2001。
范成楝，遙控飛機空載視訊影像自動化鑲嵌方法之研究，國立中央大學土木工程研究所碩士論文，2001。
傅秉綱，三維建物模型表面影像敷貼自動化之研究，國立成功大學測量工程研究所碩士論文，2002。
林后駿，三維房屋模型實景紋理影像製作與敷貼之研究，國立中央大學土木工程研究所碩士論文，2005。
Ackermann, F., Digital Image Correlation : Performance and Potential Application in Photogrammetry, Photogrammetric Record, 11(64):429-439, 1984.
Althof, R.J., M.G.J. Wind, J.T. Dobbins, A rapid and automatic image registration algorithm with subpixel accuracy, IEEE Transactions on Medical Imaging,16:308–316, 1997.
Catmull, E., Computer Display of Curved Surfaces, In Proceedings of the Conference on Computer Graphics, Pattern Recognition and Data Structures (IEEE Computer Society, New York, May 14–16):11–17, 1975.
Chen, Q., M. Defrise, F. Deconinck, Symmetric phase-only matched filtering of Fourier–Mellin transform for image registration and recognition, IEEE Transactions on Pattern Analysis and Machine Intellingence 16:1156–1168, 1994.
Comaniciu, D. and P. Meer, Robust analysis of feature spaces color image segmentation, Proc. of IEEE Conf. Computer Vision and Pattern Recognitio:750-755, 1997.
Foley, J.D.,et al., Computer Graphics: Principles and Practice, 2nd edition,Addison-Wesley, Reading, Mass., 1990.
Fonseca, L.M.G., B.S. Manjunath, Registration techniques for multisensor remotely sensed imagery, Photogrammetric Engineering and Remote Sensing 62:1049–1056, 1996.
Förstner, W. and Gülch, E., Automatic orientation and recognition in highly structured scenes, ISPRS Journal of Photogrammetry and Remote Scensing 54:23-34, 1999.
Grün, A. and X. Wang, Cyber City Modeler, A Toll for Interactive 3-D City Model Generation, Photogrammetric Week 1999, Vol. 47: 317-327, 1999.
Harris, C., M. Stephens, A combined corner and edge detector,in 4th ALVEY vision conference:147-151, 1988.
Haala, N. and Brenner, C., Extraction of building and tress in urban environments, ISPRS Journal of Photogrammetry and Remote Sensing 54: 130~137, 1999.
Moravec, H.P., Towards Automatic Visual Obstacle Avoidance, International Joint Conference of Artificial Intelligence, Vol.1,Tokyo:, 1977.
Mokhtarian, F. and R. Suomela, Robust Image Corner Detection Through Curvature Scale Space, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no. 12, 1998.
Pratt, W.K., Digital Image Processing, 2nd ed., Wiley, New York,1991.
Reddy, B.S. and B.N. Chatterji, An FFT-based technique for translation, rotation, and scale-invariant image registration, IEEE Trans, Image Process 5(8):1266-1271, 1996.
Ratakonda, K. and N. Ahuja, Lossless image compression with multiscale segmentation, IEEE Trans. Image Processing 11(11):1228-1237, 2002.
Szeliski, R.,Video Mosaics for Virtual Environments, In IEEE Computer Graphics and Applications, 16(3):22-30, 1996.
Smith, S. M. and J. M. Brady, SUSAN: A New Approach to Low Level Image Processing, International Journal of Computer Vision:45-78, 1997.
Soille, P., Morphological Image Analysis: Principles and Applications, Springer-Verlag, 1999.
Song, Y., Shan J., Photorealistic Building Modeling and Visualization in 3-d Geospatial Information System, Geo-Imagery Bridging Continents XXth ISPRS Congress, 12-23:16, Istanbul, Turkey ,July 2004.
Tian, G. Y., D. Glehii, D. Taylor, Comprehensive interest points based imaging mosaic, Patten Recognition Letters, 24(9-10):1171-1179, 2003.
Vincent, L., P. Soille, Watersheds in digital spaces: an efficient algorithm
based on immersion simulations, IEEE Trans. Pattern Analysis and
Machine Intell., Vol. 13, Iss. 6:583-598, June 1991.
Yu, Y., Efficient visibility processing for projective texture mapping, COMPUTERS & GRAPHICS, 23:245-253, 1999.

指導教授

蔡富安(Fuan Tsai)

審核日期

2006-7-10

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