marker frame 中文意思是什麼
marker frame
解釋
標記幀-
Firstly, a fourth - orders statistic hypothesis testing in inter - frame difference is used to automatically separate the moving areas from the background in a general video sequence. secondly, change areas are extracted as markers of the corresponding moving object. using the marker, region - growing algorithm can locate the precise boundary of moving object
（ 3 ）基於輪廓跟蹤；首先介紹了提取初始模板方法?基於高次統計的判決演算法，通過選擇合適的背景噪聲閾值，最終得到較好的結果，然後對於後續幀中的邊界提取，提出將灰度圖像所使用的區域生長方法進行改進，即將它們運用到彩色圖像中，通過選擇合適的生長規則，得到較好邊界圖。 -
A bt - e. coli shuttle vector pht315 was deleted its replication region of bt, then constructed a novel vector named pht315 - 1 which composed a multiple cloning site, erythromycin and ampicillin - resistance marker and could only replicated in e. coli. used pht315 - 1, a 5273 bps dna fragment carrying a novel bt plasmid replicon was isolated and registered in genbank as ay278324. sequence analysis showed that there were at least three orf ( open reading frame ) in the cloned dna encoding 501, 333, 183aas. orfl had 98 % identities with replicating related protein ori43 of bt strain hd263. the others were no homology to any published bt replicating related protein. after continuous cultured for 70h at 30 c without antibiotic selecting press. the stability of plasmid carrying cloned replicon in bt acrystalliferous mutant strain hd73 cry was more than 98 %. and growth curve also showed that the novel replicon was stable and could replicate normally
進一步序列分析表明該復制區至少有3個較大的orf ，分別編碼501 ， 333 ， 183個氨基酸。其中orf1蛋白序列與hd263復制蛋白ori43的同源性為98 ，而另外兩個orf和genbank己公布的bt復制相關蛋白無同源性。 30連續培養72h ，復制區質粒在bt無晶體突變株hd73cry ~ -中穩定性達98以上， 30h生長曲線也表明該復制區能夠在bt中穩定復制和遺傳，對受體菌株無明顯不良影響。 -
Theoretically, we can calculate the transfer matrix between cube frame and robot - tool frame, because the relative position between marker cube and guiding robot is fixed. but error of mechanical interface is too serious to accomplish locking hole. we solve this problem by using neural net
針對導航機器人的標定盒與機器人之間存在加工和安裝尺寸誤差，導致標定盒坐標系與機器人工具坐標系之間坐標轉換不準確的問題，採用神經網路方法建立坐標轉換模型，從而規避了標定盒與機器人介面的機械誤差問題，實現兩坐標系之間的轉換。
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