滑行器特效 的英文怎麼說

中文拼音 [gǔhángqìtèxiào]
滑行器特效 英文
for max glider
  • 滑 : Ⅰ形容詞1 （光滑; 滑溜） slippery; smooth 2 （油滑; 狡詐） cunning; crafty; slippery Ⅱ動詞（貼著物...
  • 行 : 行Ⅰ名詞1 （行列） line; row 2 （排行） seniority among brothers and sisters:你行幾? 我行三。where...
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 效 : Ⅰ名詞（效果; 功用） effect; efficiency; result Ⅱ動詞1 （仿效） imitate; follow the example of 2 ...
  • 滑行 : glissade; run; slide; glide; taxing; coast; taxi
  • 特效 : specially good effect; special efficiency特效成分 magistery; 特效試劑 special reagent; 特效藥 spe...
  1. Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result

    以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。
  2. Although the congestion control research of host - ends has made great strides, the current queue management mechanism in router is not able to provide end - to - end congestion control mechanism to sustain the above environment, namely, the unfairness of assigned bandwidth or drop - rate for different types of flows and the synchronization of all tcp flows in network. so it is necessary to improve the classical queue management mecnanism such as drop _ tail and red in order to boost the qos ( quality of service ). this article analyzes the main traits of host - ends congestion control and all kinds of fashionable queue management machanism, which include queue mechanism with absolute priority, weighted fair queue mechanism and class - based queue mechanism

    本文分析了主機端的擁塞控制機制和網路中路由器的現有各種隊列管理機制：絕對優先級隊列機制、加權公平隊列（ weightedfairqueue ） [ 1 ]機制、基於類的隊列（ class - basedqueue ） [ 2 ]機制以及red （ randomearlydetection ） [ 3 ]機制的主要特點，並重點針對ietf （ internetengineeringtaskforce ）推薦的把red演算法與明確的擁塞通告ecn （ explicitcongestionnotification ） [ 4 ]結合的方法進行了分析，發現隨著internet流量的日益遞增， red機制的依賴平均隊列長度來管理擁塞控制的演算法並不能有效地阻止包丟失：與drop - tail相比， red確實消除了對陣發流量（ tcp ）的偏見，但是增加了平滑流量（ udp ）的丟包概率。
  3. The double - buffer technology saves memory resource, enhances memory efficiency ; the data - pulled technology improves the server ' s efficiency and performance, guarantees the video file to playback smoothly ; mpeg - 1 ensures the system ' s usability and feasibility ; directshow ensures the audio and video playback correctly ; the rtp / rtcp deals better with the system ' s real time. the pl vod system works normally on all sorts of mpeg - 1 streams

    雙緩沖區技術節省了內存資源，提高了內存使用率；客戶端拉技術提高了服務器的效率與性能，保證了節目文件的平滑回放； mpeg - 1多媒體壓縮標準保證了系統的通用性和可行性； directshowcom組件技術保證了音頻流與視頻流能夠正確回放； rtp rtcp協議較好地處理系統的實時特性。
  4. But the standard mc has some shortcomings : firstly, the standard mc picks up isosurfaces by threshold, however, threshold segmentation is invalid for picking up tissues or organs from some medical images ; secondly, the standard mc pocesses cubes one by one, that is to say, all the cubes will be checked, and the algorithm spents 30 % - 70 % of time to check the null units, so we need a reasonable data structure to travel the space data and accelerate the checking or filting of null units ; thirdly, the standard mc has a large scale of triangles, normally, the tissue or organ reconstructed includes hundreds of thousands so much as millions of triangles, this means it hardly to execute real - time rendering or interaction ; lastly, the standard mc can not get the very smoothly surface mesh, and there will be some unexpected accidented cases, especially in the case of big errors in oringinal data

    但是標準mc演算法存在較大的問題:標準mc演算法實質上是通過閾值分割來提取等值面，閾值分割對某些醫學圖像的組織或器官的提取難以得到較好的效果;標準mc演算法是逐個移動立方體來進行處理，就是說對所有的立方體都要進行一次檢測，演算法執行中30 % ~ 70 %的時間用在對空單元的檢測上，因此需要有一種合理的數據結構對空間數據進行有效的遍歷，以加速對空單元的檢測和過濾;標準mc演算法產生了大量的三角面片，一般重建的組織或器官包含數十萬甚至上百萬的三角面片，難以實現實時的繪制和交互操作;標準mc演算法得到的表面網格並不光滑，會有一些不期望的凹凸，特別是在原始數據有較大誤差的情況下尤其突出。
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