object location造句
造句與例句
手機(jī)版
- I encoding of object locations in primary school children
小學(xué)兒童空間物體位置編碼 - Object location of satellite imagery under lacking ground control points
缺少控制點(diǎn)的衛(wèi)星遙感對(duì)地目標(biāo)定位 - Remote object location
遠(yuǎn)程對(duì)象定位 - As a result , numerous vendors - particularly application server vendors - have developed proprietary object location mechanisms for rmi - iiop
其結(jié)果是，許多供應(yīng)商尤其是應(yīng)用服務(wù)器供應(yīng)商為rmi - iiop開(kāi)發(fā)了專門(mén)的對(duì)象定位機(jī)制。 - Because i believe that ins will set the direction of object location in the future , the code example we ll work with in this article uses ins
因?yàn)槲蚁嘈舏ns將確定對(duì)象定位的未來(lái)方向，所以我們?cè)诒疚膶⒂懻摰拇a示例使用ins 。 - For rmi - iiop to achieve transparent object location , orb vendors have historically used the java cosnaming service provider or
為了讓rmi - iiop實(shí)現(xiàn)透明的對(duì)象定位， orb供應(yīng)商歷史上曾經(jīng)使用java cosnaming服務(wù)提供者（或用外行人的話說(shuō)，是 - 4 ) this paper realizes object location recognition commutatively . the paper realizes road and some area objects recognition semi - automatically or automatically
( 4 )實(shí)現(xiàn)了軍事目標(biāo)的交互式識(shí)別以及道路和部分面狀目標(biāo)的半自動(dòng)或自動(dòng)識(shí)別。 - Geronimo was no longer using mx4j just as a jmx , but as a general - purpose yet high - volume system for object location , interobject communications , method interception , and so on
Geronimo不再只是將mx4j當(dāng)成一個(gè)jmx ，而是把它當(dāng)作一個(gè)通用的、大型的系統(tǒng)，用于對(duì)象定位、對(duì)象間通信、方法截獲，等等。 - Distributed computing systems , vienna , austria , 2002 , pp . 23 - 34 . 6 rowstron a , druschel p . pastry : scalable , distributed object location and routing for large - scale peer - to - peer systems
鑒于對(duì)等數(shù)據(jù)系統(tǒng)是海量信息組織管理和實(shí)現(xiàn)的一種有效的機(jī)制，基于內(nèi)容的近似查詢處理尤其應(yīng)該引起人們的重視。 - Object location is defined as coming up with three - dimensional coordinate expression through binocular vision model analysis using geometrical relationship depth map generalization is the course of visualizing depth information
目標(biāo)定位是通過(guò)雙目視覺(jué)模型分析，利用空間幾何關(guān)系，最后提出了目標(biāo)點(diǎn)的三維坐標(biāo)計(jì)算表達(dá)式。 - It's difficult to see object location in a sentence. 用object location造句挺難的
- Based on vision system composed of dual ccd camera and personal computer , we do discuss camera parameter calibration , stereo matching , object location and depth map construction in this dissertation , and so on
本論文基于ccd攝像機(jī)和個(gè)人計(jì)算機(jī)組成的視覺(jué)系統(tǒng)，重點(diǎn)討論了攝像機(jī)參數(shù)定標(biāo)、立體匹配、目標(biāo)定位、深度圖生成等。 - Based on asm , many localization experiments have been taken with actual x - ray medical images of human spines as the training sets . those results show that asm has a high level of veracity compared with the traditional methods of object location
以asm方法為基礎(chǔ)，本文以真實(shí)的醫(yī)學(xué)脊柱x -光圖象為訓(xùn)練樣本，進(jìn)行了大量的定位實(shí)驗(yàn)，實(shí)驗(yàn)結(jié)果表明：與傳統(tǒng)的目標(biāo)定位方法相比， asm模型具有較高的準(zhǔn)確性。 - To solve the first problem , frame difference information is used to direct the location of object regions of difference image frame , and then the objects location information come from d i f ference frame i s used to compound a background frame that does not include any moving object
對(duì)背景建模問(wèn)題，文中提出了根據(jù)幀差信息指導(dǎo)不同圖像幀中的目標(biāo)物區(qū)域位置定位，據(jù)此用不同幀目標(biāo)物區(qū)域像素值合成“空”背景的方法。 - 3 ) in order to realize object location at the same time , this paper accomplishes orthorectification for several typical remote sensing images . as to the " tm " image , which is complex in imaging mechanism , the absolute registration scheme is applied to it during orthorectification
( 3 )為了實(shí)現(xiàn)目標(biāo)的定位，本文實(shí)現(xiàn)了目前幾種比較常用的遙感圖像的正射糾正，對(duì)于像tm圖像這種成像機(jī)理復(fù)雜的圖像采用遙感圖像絕對(duì)配準(zhǔn)的方法實(shí)現(xiàn)其正射糾正。 - Besides asm , a general approach towards object location using active appearance model ( aam ) is presented . aam measures the current texture residuals and uses the model to predict changes to the current parameters , leading to a better fit . at last , the independent component analysis is used in the building procedure of active shape model
在asm模型的基礎(chǔ)上，本文還簡(jiǎn)要探討了主動(dòng)表觀模型( aam )的定位方法， aam可以根據(jù)當(dāng)前合成圖象同目標(biāo)圖象之間的表面灰度差異逐步調(diào)整統(tǒng)計(jì)模型參數(shù)，使得合成模型更加逼近目標(biāo)物體。 - This model manages remote invokes through event driving , and supports two asynchronous invoke model such as asynchronous call back and polling ; the model uses router as message " store - forward " mechanism , and guarantees time independent invoke of loosely coupled application ; the model extends the traditional corba addressing way , defines a kind of logic object address , which can support object migration of loosely coupled application and increase transparency of object location ; the model also defines object group address , which supports message multicast and implements " i - to - n " communication model
該模型采用事件驅(qū)動(dòng)的方式管理遠(yuǎn)程調(diào)用，支持異步回調(diào)和異步輪詢兩種異步調(diào)用模式；模型采用路由代理作為消息的“存儲(chǔ)-轉(zhuǎn)發(fā)”機(jī)制，保障了松耦合應(yīng)用的時(shí)間無(wú)關(guān)調(diào)用的需求；模型擴(kuò)展了傳統(tǒng)corba的尋址方式，定義了邏輯對(duì)象地址，能夠支持松耦合應(yīng)用的對(duì)象遷移，提高了對(duì)象定位的透明性；模型還定義了對(duì)象組地址，支持消息組播，實(shí)現(xiàn)了“一對(duì)多”的通信模式。 2 - After that , sichuan telecom operation and supporting system , new97 in brief , is presented from many aspects such as system construct background , system aims , system object location and interface implementation technique , for the next discussion about application of the object - oriented technique mentioned above
隨后扼要地介紹了“四川省電信綜合營(yíng)銷(xiāo)支撐系統(tǒng)” （新97 ）的系統(tǒng)建設(shè)目標(biāo)、系統(tǒng)對(duì)象定位、系統(tǒng)背景、接口實(shí)現(xiàn)技術(shù)等幾個(gè)方面內(nèi)容，為下一章闡述新97系統(tǒng)開(kāi)發(fā)中技術(shù)探討與應(yīng)用奠定基礎(chǔ)。 - Once the motive object have been detected , computer vision system can recognize it and estimate the current and future object location and pose with the motion and three - dimensional structure information , it can be used to resolve the problem of object recognition and object tracking
一旦檢測(cè)出運(yùn)動(dòng)信息或估計(jì)出目標(biāo)的三維運(yùn)動(dòng)和結(jié)構(gòu)參數(shù)，就可以利用目標(biāo)的這些信息，再根據(jù)目標(biāo)模型的先驗(yàn)知識(shí)，識(shí)別出目標(biāo)，估計(jì)目標(biāo)當(dāng)前與未來(lái)位置和姿態(tài)，解決目標(biāo)的識(shí)別與跟蹤問(wèn)題。
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