projective method 中文意思是什麼

projective method 解釋
射影法
  • projective : adj. 1. 投影的，射影的。2. 凸出的，突出的。3. 【心理學】投射的。
  • method : n 1 方法，方式；順序。2 （思想、言談上的）條理，規律，秩序。3 【生物學】分類法。4 〈M 〉【戲劇】...
  1. Combined with the reseaching panoramic aerial camera with tdi ccd, the paper deduced the formula of imv with two methods. one is coordinate system transformation method, the other is orthogonal projective analytic method

    本文結合在研的tdiccd全景航空相機，用兩種不同的方法實現對像移速度公式的推導：坐標系變換法和正交投影解析法。
  2. Second, more feature points are extracted for advanced registration based on projective transformation. compared with the ordinary method, our method has a better robust feature with higher accuracy, it also has a fully automatic feature so it need little human intervention in the whole process. the image segmentation, feature extraction, feature correspondency, and transformation model of multi - modality medical image registration are also studied in this paper

    本研究的創新之處:針對rf和fa視網膜圖像的特點，提出了新的血管細化的新方案;在特徵點提取方面，提出了「三輪定心」這種新的特徵點提取方法;提出了由「粗配」到「細配」的混合配準方法;力矩主軸法用於圖像配準參數的估計及對應性尺度參數范圍的定值。
  3. In the self - calibration scheme, the thesis emphasizes the accuracy of camera intrinsic and extrinsic parameters. we presents an accurate f method based on corresponding point adjustment. the method adjusts coresponding points according to the fixedness of projective transformed cross ratio, then calculates f matrix accurately through linear and non - linear methods. when computing intrinsic parameter, a matrix, we simplify the step, and stress on the two important parameters of a. the result will be getten through solving kruppa equation based on svd decomposition. in order to compute extrinsic parameters, we use linear method to get initial r and t, then apply non - linear method to accurate them

    提出了基於匹配點調整的f求精方法，先根據攝影交比不見性對手工選擇的匹配點進行調整，再用線性、非線性結合的方法求精f矩陣；在計算內部參數a中，進行了一定的簡化，把重心放在a中重要的兩個參數上，用svd分解法計算kruppa方程；在計算外部參數時，首先用線性法求解r 、 t ，然後再用非線性法迭代求精。
  4. 4 ^ included the content of single - picture rectification, image enhance, cutaway view of cavity, all kinds of image revelation through mosaic, and dsm collection of tunnels, many image processing method is studied. 5 ^ the paper introduces the method of photogrammetry geology catalog. all kinds of projective graphs in various layers are received

    不同洞型影像的幾何糾正；不同邊坡影像的幾何糾正；糾正或鑲嵌像片的影像增強；洞室編錄縱/橫剖面圖；影像鑲嵌分別得到洞室影像展示圖、坡面正射影像圖、坡面正射影像鑲嵌圖；基坑的像對定向及dsm生成； 5 、研究了基於影像的地質編錄。
  5. We introduce five topological characteristics and geometry characteristics that are invariant under projective transformation specially perspective projection. the definition of homograph is given by means of these characteristics, and then the recognizing method of the homograph is proposed according to the definition of homograph

    接著，根據透視投影不變性提出了5個用來描述多邊形形狀的拓撲特徵和幾何特徵，這些特徵在透視投影下是不變的，以這些特徵給出了在透視投影下平面多邊形為類似形的定義。
  6. The aim of projective reconstructing is to estimate the position and direction of cameras through matching points in different images so lay the foundation for further reconstructing. on the basis of current methods of projective reconstructing, we used the levenberg - marquardt method to optimize the result of linear method so the precision is be improved, and we use the bundle adjustment method to entirely optimize the structure of scene and projective matrixes

    本文在研究已有射影重建演算法的基礎上，利用l - m演算法對基於基礎矩陣的射影重建演算法得到的線性結果進行優化，提高了演算法的估計精度和穩定性，並在求得所有圖象對應的投影矩陣后利用bundleadjustment方法對空間結構及投影矩陣進行全局優化。
  7. Finally, a method is put forward to construct the nurbs curves on sphere, which extends the de boor recursive algorithm in r3 to one on the sphere by replacing the geodesic distances for the lines and studies their many geometric properties analogous to those in euclidean spaces, such as the differential property, the local property, the parameter invariance under a projective transformation, and so on

    兩種方法均給出誤差估計，使逼近螺線可達到任何預先給定的精確階。最後，給出球面nurbs曲線生成演算法：用球面上測地線? ?劣大圓弧代替直線段，將歐氏空間r ~ 3中的deboor遞推演算法推廣到球面上構造麯線。
  8. In two - view case, a method is presented for calculation 2d projective transformation and construction the virtual elements by combination of spatial points and lines. so more 3d invariants of object ' s spatial structures can be extracted from real elements and virtual eleme nts. ( 3 ) the geometric characteristics of 2d symmetric objects " in perspective images are lucubrated

    （ 2 ）擴展了2d射影變換矩陣的求解方法，將單純利用點集對應的計算模式擴展到利用直線集、點線組合等多種類型來建立兩個射影平面的對應關系；總結了平面上基於點、直線元素可求解的多種3d不變量；提出了雙視圖下由點、直線元素的多種對應關系求解2d射影變換來構造「虛元素」的方法，結合「實元素」和「虛元素」可以提取更多的空間3d不變量。
  9. Taking the measurement matrix rank 4 as the constraint, we propose two methods to estimate projective depths iteratively : ( l ) the algorithm of estimating projective depths based on conjugate gradient method ; ( 2 ) the algorithm of estimating projective depths based on genetic algorithms

    以測量矩陣的秩為4作為約束，以仿射投影逼近透視投影，提出了以下迭代估計射影深度的演算法：基於共軛梯度法的射影深度估計演算法，基於遺傳演算法的射影深度估計演算法。
  10. By using the projective covering method and projective covering probability, fractal and multifractal dimensions of different types of landform sueface above are computed. results show that all the studied landform surface are not simple fractals, but multi - range scaling fractals, and the fractal dimensions increase with the landform type from basin to mid - low mountain and high mountain. nevertheless, different type landscapes perform different dq - q curve shapes. which the dq value has the widest range in the high mountain type, the second one is the mid - low mountain type, and then the basin type

    對不同時段地震形變場圖象多重分形特徵的研究表明，震源區及近震源區強震前垂直形變圖象都出現信息維降低，多重分形譜曲線dq變陡，值域范圍變寬的特徵，說明在強震前地殼垂直形變出現了局部化、不均勻性增強的行為，這些對地震預報都有重要的實際意義。
  11. Firstly, unlike the factorization - based methods that minimize the svd ( singular value decomposition ) re - projection error, the method uses the minimization of mean 2d re - projection error of projective points as a criterion, therefore it has a clearer physical meaning and enhances the accuracy of projective reconstruction results

    該方法以全局性極小化射影三維空間點的二維反投影誤差平方和為準則，相對于縮小svd反投影誤差的方法，具有更為明確合理的物理意義。
  12. First, we compute the larger spatial transformation. then, we refine the parameters using projective transformation. it is proved that this method can produce good result and fast speed

    我們採用的是基於頻域仿射模型的光流方程，即首先計算比較大的空間變換，然後再對其進行透視變換求精，實驗證明這樣既可以獲得較好的效果，也提高了計算速度。
  13. Using orthogonal projective analytic method, the simplified formula of imv was deduced, ignoring the effect of aircraft ' s initial rotational angle, presuming the angle is zero

    利用正交投影解析法推導像移速度公式，忽略了飛機的姿態角的變化，認為飛機的姿態角為零，所以它是簡化的像移速度公式。
  14. The paper discusses the transformation problem between different types of coordinate systems, for example : the coordinate transformation between wgs - 84 coordinate system and beijing 54 coordinate system, the formula for gauss projection positive and negative computation in national stripes and any local projective stripes, and presents an algorithm. combined with some classic shortest path algorithms, this paper presents an efficient method of realize the shortest path algorithm which is based on dijkstra algorithm

    84坐標系與北京54坐標系之間的變換，國家投影帶和地方任意投影帶的高斯投影正、反算公式，並給出了具體演算法；在一些經典的最短路徑演算法的基礎上，提出了一種dijkstra最短路徑演算法的高效率實現方法。
  15. After getting chain code in the stage of image segmentation, we introduce. the concept of chain code sum, and propose the method of detecting projective - invariant key points on the contour of airplane

    隨后在圖像分割階段得到鏈碼的基礎上，引入了鏈碼和的概念，提出了利用三點鏈碼和檢測飛機邊緣曲線上的透視不變點的方法。
  16. The experiments show that the method proposed by us is more robust, comparing to the method of estimating projective depths based on fundamental matrix and epipolar points. 2

    實驗證明：相對于基於基本矩陣和極點方法來計算射影重構，本論文提出的演算法對噪聲具有更好的魯棒性。
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