逆向位移 的英文怎麼說
中文拼音 [nìxiàngwèiyí]
逆向位移
英文
upstream shift-
Then fourier transformation is employed to solve equations of motion of the rings, bulkheads, stringers and fluid respectively, with their reactions ( moments ) expanded by the shell ' s in - vacuo modes. by means of continuity conditions on the interfaces between the shell and the stiffeners as well as the fluid, and inverse fourier transformation, the modal reactions ( moments ) are finally expressed by the shell ' s modal velocities
然後用fourier變換分別求解環肋、艙壁、縱骨和流場的運動方程，將它們對殼體的作用力（力矩）用殼體周向模態展開，利用它們與殼體在連接處位移連續條件以及fourier逆變換得到用殼體速度表示的模態相互作用力（力矩） 。By taking advantages of epipolar line features and depth discontinuities in reference 中國科學院 軟件 研究所 博士 學位 論文 基于 圖 象 的 快速 繪制 技術 的 研究 images ， an efficient inverse wmping algorithm is pfoposed in chapter 3 for gcnerating nagcs of novel views by combining multiple eference images 帆 enhm different vie 呷 oints because continuous segnents determi 。 d by pairs ofedge pixels at co 。 spending epipolar lines are order kept ， only pairs of edge pixels in the reference 渝 明 e e necess 叨 口 cowute to obtain generalized disparity of all points in the desired image as a result ， sighficant acceleraion could be made in the endering pfo 比 鴕 two accelerating techiq 此 s e presented in this algori 山 mb accelerate the hole illing process his algorithm extends the reference images rom projection of single col ： ii ’ ected surface in previously developed nvnverse w 出 下 er to ima 驢 s captured rom complex scene in chapter 4 ， an 《 dent ibr method is prese 庇 仙 y takn ull 訕 antage of 呷 bies c 咖 the method can simulate the 3d details on sllri ： ace of object successfully he 。 叩 proach ， called rered ature mopmp consists of two pans at fst ， an origi 。 ltexture with orthogonal displacements per pixel is deco 啊 osed into a series of new t6 刀 mfcs with each 他 lug a given displacement per pixel ， called ae ， ea atures ， or lt hen hese lt e used to render the novel view by conventional texture mapping d avoid gaps n the endered hlla 驢 ， some phels are to be interpolated nd extended in the 廠 kaccoding to the depth differe eee between two neighbor pixels in the original texture as these ltlt fc … e much storage nd therefore much time is equired to install ltlt into the text ’ ufc buffec an 舊 thod is pfoposed to co 呷 fcss the ltlt ， nd the cottcspondingfclldering method is given experimental esults show that the new method is efficient ， especially n rendering those objects with a smaller depth rnge compared withtheir size ， such as relief surfaces of building
與己有的三維變換方法相比較，該方法不但成功地填補了由於投影區域擴張而產生的第一類空洞，而且成功地填補了由於空間深度非連續物體相互遮擋而產生的第二類空洞，從而方便地實現了虛擬環境中的漫遊；基於物體表面深度的連續性，本文提出了一個位移預測方法? ?此方法可以從單幅參考圖象獲得逆映射過程中所需要的目標圖象的位移信息，從而大大提高了演算法的效率：與通常的正向映射演算法相比，此演算法克服了多幅參考圖象所帶來的計算量成倍增長等問題，而且誤差較小。 2 ）基於極線幾何的快速逆映射演算法。利用參考圖象的邊界信息與隱含的遮擋關系，以及極線幾何的性質，本文第三章提出了一個基於極線幾何的快速3 『一中國科學院軟體研究所博士學位論文基於圖象的快速繪制技術的研究逆映射演算法，從多幅參考圖象精確合成當前視點目標圖象。Firstly, finite element model of lathe spindle using finite element technique is established, and supporting bearings are treated as springs, unknown physical parameters and partial vibration displacement make up of new solving vector through using method of combination of academic modeling and experiment, mathematic model of solving stiffness of beating of lathe spindle is established using inverse analysis method of response problem finally
建立了機床主軸的有限元模型，將支承軸承簡化為支承彈簧，通過理論建模與實驗相結合的辦法，將待識別的物理參數和部分振動位移組成新的求解向量，利用響應問題的逆分析方法建立了求解主軸軸承剛度的數學模型。Sudden rupture and displacement occurs with normal, reverse, strike-slip, or oblique-slip faulting.
突然破裂和位移伴隨正、逆、走向滑動或斜向滑動斷層作用而發生。This algoritlun is more efficient by the heuristic depth esthoating technique proposed in this paper which gets displacement values used during backward mapping process from a single primary reference image under the observation that, the shape of space surfaces often changes smoothly in comparison with usual forward mapping methods, this algorithm generates derived images with less errors and tackles the problems associated with multiple reference images
在論文第二章中，本文提出了一種多幅圖象合成演算法。該演算法首先進行主參考圖象位移值的正向映射，以獲取目標圖象所對應的位移圖：然後通過一個深度預測演算法，對尚未完整的位移圖作空洞填補：最後由逆向映射過程來生成最終目標圖象。分享友人