組距中值 的英文怎麼說
中文拼音 [zǔjùzhōngzhí]
組距中值
英文
class mid value-
Methodology for absolute measurement is proposed by using an outside installation mechanism in laser tracking measurement system, which has an important reference value in practicality in high accuracy assembly and inspection of large - scale mechanical field. spherical tracking servo mechanism " s model described in this paper not only is a new thought but also have much reference value in the mechanical design and other industrial machines design
本文提出的外置式激光跟蹤測距系統應用於無導軌曲線測量的設計方法在大型機械現場組裝與安裝中具有較高的參考價值和實用價值，提出的球形跟蹤伺服機構的設計思想，不僅簡化了伺服機構，對跟蹤伺服機構的設計提供了新思路，而且對機器人設計及其他工業領域機構設計都具有一定的參考價值。This thesis mainly discuss the practical value of the stereopsis test software in the ophthalmic clinical test of stereopsis, compare the difference between the traditional tno method and our software, measure the normal value of distant and near stereo acuity of health people. analyze the relation between the age and stereopsis, analyze the relation between the distance and stereopsis, test the near stereopsis development of young children with ophthalmic disease, test the influence on stereoacuity of the size of random dot
本課題主要探討自編立體視檢查軟體在眼科臨床立體視檢查中的應用價值；比較傳統的tno檢查法與本軟體檢查法的差異；測定正常人群各年齡組遠、近距離立體視銳度的正常值；分析年齡與立體視的關系；分析檢查距離與立體視的關系；測定斜視、弱視兒童的近距離立體視發育情況；測定隨機點大小對立體視銳度的影響。In the organizations within large - power distance cultures you find a greater centralization of power, great importance placed on status and rank, a large proportion of supervisory personnel, a rigid value system that determines the worth of each job, and the bypassing of subordinates in the decision ? making process
在權力距離大的文化的組織中，權力高度集中，位置和等級特別重要，人事監督占的比重較大，擁有嚴厲的評定工作價值的體系，決策過程中下屬的看法不受重視。We write the program which used for fighting errors in absolute positioning. we also write the program which used for linear combinating in absolute positioning. from analyzing for the measurement of outer, we can conclude that we can use m estimation to estimate parameter in gps absolute positioning. lt has application value. using it, we can obstain the stable positioning result and remove the outer. in this paper, we calculate the data which from the baseline space of the gps calibration space. we also draw some conclusion using broadcast ephemeredes and smoothing pseudoranges. the positionging precision is in 1 - 2 meter
編制了gps絕對定位中抗差估計程序和應用線性組合進行單點定位的程序。通過對粗差量級的分析，得出在gps觀測量存在粗差時， m估計是有其應用價值的，它使定位結果較為穩定，減弱和剔除了粗差的影響。應用線性組合程序對gps綜合檢定場數據基線網點進行計算，得出用廣播星歷和平滑后的偽距可以給出較好的結果，點位精度在1 ? 2米。We use rac ( radial alignment constraint ) of imaging process to decompose camera parameters. by organizing the solving sequence of the parameters rationally, we can obtain all parameters through solving systems of linear - 3 - abstract equations. accordingly we have changed the situation that ? he former camera calibration rac methods should depend on the non - linear optimization and has strict requirement to illumination, the situation that the calibrating distance is too short
演算法考慮到攝像機模型中的一階徑向畸變，巧妙地利用成像過程中的徑向約束（ rac ）分解攝像機參數，同時通過合理地組織參數的求解次序，使得經由求解線性方程組就可以得到全部的攝像機參數，從而改變了以往攝像機rac標定方法依賴于非線性優化，以及對光照條件要求嚴格和標定測定距離短的情況，使得rac方法較以往的演算法更為精確、快速、簡便，並且更加具有推廣價值。Following are detailed steps of this system : in the segmentation section, we use three successive frames to detect the motion infomation of the pictures, by using blockmatching algorithm in two successive frames twice, we can get two pictures composed of motion blocks of the moving object, then we find out the common motion blocks of the two pictures, experiments prove these blocks approximately compose the moving object. after getting the motion blocks, we calculate the center of these blocks as the center of the moving object, thus we can use the center point as the origin, construct n straight linesjoining the boundry of the image and the center. on each line, we can find out a proper point near the object contour according to some criteria, then we use these n points as the initial points of the snake and let the snake converge on the object contour, thus finish the segmentation of the moving object
本方案的實現過程為：分割部分：對運動目標的前後三幀進行兩次塊匹配運動檢測，通過找出兩個匹配結果中運動圖像塊的公共部分，獲得組成運動目標的圖像塊；求出運動目標圖像塊的形心作為運動目標的中心，以此中心為端點，向四周發散出角度間隔為的n條射線，射線的另一端終止於圖像的邊緣；在每條射線上按照一定的準則（點的梯度和與目標中心的距離在一定閾值范圍內）找出n個初始輪廓點；以這些初始輪廓點作為主動輪廓模型（ snake ）的初始點，用改進的貪婪演算法使snake收斂到待分割的運動目標輪廓上。分享友人