以往傳統的貼圖技術主要是以模擬的材質敷貼至三維模型的表面，到了今日在展現三維場景或城市模型成果時以真實的影像作為三維物體表面的敷貼材質已經變得非常普遍。然而以真實的像片做為敷貼材質時常因原始像片拍攝角度傾斜而造成後續貼圖時材質影像出現變形的情況，針對這種情形Devich與Weinhaus[1980]提出了一套透視轉換的理論(Image Perspective Transform, IPT)，在已知攝影方位的情況下自動地找出敷貼的材質影像並將影像的變形糾正，但對複雜的建物而言每個模型面的材質可能需要由多張像片拼接而成，故如何選出最佳的像片做為模型面的材質影像便為一個重要的研究課題，因此本文以透視轉換的理論為基礎針對多邊形模型(Polygon Model)在已知攝影方位的情況下提出一套以整合性指標選出最佳敷貼材質的理論。

本文提出的理論可適用於以攝影測量方式從航測像片或近景像片中萃取而得的三維建物模型，在萃取建物模型的過程中必須恢復影像的方位並由立體量測可得到建物的物空間資訊。因此本文以萃取建物模型過程中得到之建物模型資料及影像方位做為原始資料來求解建物模型最後的材質影像。本文後續並針對小型物體及大型的實際建物進行實驗以證明本文提出的理論確實可行，最後的成果以虛擬實境模組語言(Virtual Reality Modeling Language, VRML)表示，因此可以 VRML瀏覽器來展示。

Traditional texture-mapping techniques mainly use fictitious texture patterns to represent generic surface material of 3D models. Nowadays, photo-realistic texture mapping of 3D objects has become a necessity for landscape or city modeling works. However, textures come from real-world photographs often oblique, so that the resulting appearance of the texture covering for the surface may be distorted. To cope with these problems, Devich and Weinhaus [1980] proposed the Image Perspective Transformation (IPT) technology, which is invented to find the mapping image portions automatically and to correct distortions on condition of knowing camera acquisition geometry. However, to use IPT method for a relatively complicated object, numerous photographs are frequently needed. Different portions of one or more photographs may be mapped onto each one of the object surfaces. Image selection for the best texture mapping becomes an important issue. To deal with this issue, this paper proposes a polygon-based IPT algorithm that is cooperated with some useful criteria set up to select the most suitable image or to combine images for texture mapping based on the considerations of camera acquisition geometry.
The proposed method is especially suitable for the applications of reconstructing 3D buildings using photogrammetric techniques. Through the photogrammetric procedures of image orientation recovery and stereo measurement, the spatial data of buildings can be extracted from multiple aerial or close-range images. Under this circumstance, the proposed IPT method naturally takes the data of building models and image orientation parameters as the input data to perform photo-realistic texture mapping for the extracted buildings. Several examples ranged over the texture mapping of small objects and large building structures are demonstrated. The results will be expressed in Virtual Reality Modeling Language (VRML) so that they can be shown with VRML-compatible visualization software.

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