题名 |
小波數學函數與理論輔助小面立體視覺法進行快速物面重組 |
并列篇名 |
Fast Object Surface Reconstruction Using the Method of Facets Stereo Vision Aided by Wavelets |
DOI |
10.6574/JPRS.1996.1(1).4 |
作者 |
蔡展榮(Jaan-Rong Tsay) |
关键词 |
小波函數與理論 ; 小面立體視覺 ; 物面重組 ; 多層解析度空間 ; wavelets ; facets stereo vision ; object surface reconstruction ; multiresolution spaces |
期刊名称 |
航測及遙測學刊 |
卷期/出版年月 |
1卷1期(1996 / 12 / 01) |
页次 |
59 - 68 |
内容语文 |
繁體中文 |
中文摘要 |
小面立體視覺(Facets stereo vision)是一種使用數位影像資料來自動重組物體表面的幾何性資料(數值地形模型)及輻射性資料(數值正射影像)之方法。此法可行嚴密的誤差計算並真有整合像空間與物空間的各式資料與條件以提高物面重組精度等多項優點。然而,計算量大、費時,乃其缺點。本文把要地略述由小波數學函數與理論發展出來的正交物體表面灰度值模式、及新的計算程序,俾使法方程式中對應於物表灰度值模式參數之子矩陣變得非常簡單,如此可增快計算速度並使重組大計算窗內的物體表面成為可行,亦可增加物面重組使用的影像訊息量(例如:紋理),縮減大區域物面重組的計算時間。使用這個正交物表灰度值模式,每一個高程網格可包含2x2個像元,此一高解析度高程網格可用以表達較精確的物表高程面。以航測影像(比例尺1:4000,像元大小15μm)實驗結果顯示,使用這個新模式與新計算程序,小面立體視覺法具有0.2~0.6像元高精度物面重組的能力。 |
英文摘要 |
Facets stereo vision' is a method for the automatic and simultaneous reconstruction of the geometrical and radiometrical object surface using digital image data. It can perform strict error computation and it has some advantages, e.g. it can integrate different types of data and/or conditions from the image and/or object spaces to the computation of the object reconstruction. Nevertheless, it needs many computation operations so that it is relatively time-consuming. In order to enable a fast object surface reconstruction using this method, new model and algorithm will be briefly presented in this paper. An orthogonal object grey value model was developed from the basic concepts of the theory of wavelets. This new model gives us a very simple submatrix corresponding to the object grey value model parameters in the normal equations. Furthermore, the high resolution of 2 x 2 pixels per height facet is applicable using this model. In addition, a new algorithm was proposed to reduce the total computing time in a large area and to enable the object surface reconstruction in larger windows. Generally speaking, larger windows contain more image informations (e.g. image textures) than smaller windows. Test results using aerial images with the image scale 1:4000 and pixel size 15μm show that the method of facets stereo vision aided by the proposed model and algorithm is capable of a high precision (0.2~0.6 pixel) object surface reconstruction. |
主题分类 |
工程學 >
交通運輸工程 |