displacement of images 中文意思是什麼

displacement of images 解釋
像點位移
  • displacement : n 1 轉位，移動；取代，置換；（人的）流離失所。2 撤換，免職。3 【機械工程】（活塞）排氣量；【航海...
  • of : OF ＝Old French 古法語。
  • images : 物象
  1. The computational results of the particle images are agreement with the simulated datain reasonable, the most absolute difference of the displacement is 0. 6671 pixel at the x abscissa and 0. 7928 pixel at y abscissa ; the computational results are equal to the data form the algorithm of particle brightness - distribution pattern tracking ( the conventional cross - correlation algorithm ) at voluminous points, their discrepancy is only one pixel at few points, mostly in boundary area

    西安理工大學碩士學位論文最後，在visualfortran環境下給出了這種演算法的具體實現，處理模擬粒子圖像的結果與模擬數據比較吻合，最大位移絕對誤差在x方向是0 . 6671像素，在y方向是0 . 7928像素;計算結果與示蹤粒子灰度分佈模板法（基本的互相關法）在絕大部分點是相同的，只在少數點相差一個像素，而且大多出現在邊界區域。
  2. 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。
  3. Detecting algorithm based on background prediction, maximum background prediction, most similar background prediction, displacement pipeline filter, target movement characteristics algorithm based on sub - pixel analysis and the method of the contrast similarity among frames are introduced for the target detecting in single image and sequence images

    在單幀圖像和序列圖像目標檢測方面提出了基於背景預測的檢測方法，最大化背景預測方法、最相似背景預測方法、位移式管道濾波方法、基於亞象元分析的目標運動特徵演算法和目標對比度相似性的幀間目標檢測方法。
  4. 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。
  5. The longitudinal distortion, lateral displacement and luminance difference of the reconstructed images at different depth of field in multiple - exposure rainbow holography for 3 - d synthesis of multiple ct slides were analyzed, for which the effective compensation methods were presented, and the experimental results were given

    分析了應用彩虹全息術實現ct圖片的立體合成過程中再現像在軸向及垂軸方向上的畸變以及再現像亮度的失真，分別提出了相應的補償方法，並給出了相應的實驗結果
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