相邻帧的英文
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"相邻帧"怎么读用"相邻帧"造句
英文翻译手机版
- consecutive frame
- "相邻"英文翻译 adjoin; adjoining; adjacent
- "相邻" 英文翻译 : adjoin; adjoining; adjacent 与我家相邻的房子正在修缮。 the house adjacent to ours is under repairs. 我们的田沿河相邻。 our farms join along the river
- "相邻室,相邻舱" 英文翻译 : adjacent chamber
- "邻接 相邻" 英文翻译 : abut
- "相邻,隔壁" 英文翻译 : next to
- "相邻,邻居" 英文翻译 : vicinitas
- "相邻;靠近" 英文翻译 : next to
- "相邻斑" 英文翻译 : adjacent spot
- "相邻臂" 英文翻译 : adjacent arm
- "相邻边" 英文翻译 : adjacent edge
- "相邻舱" 英文翻译 : adjacent compartment
- "相邻层" 英文翻译 : adjacent layer
- "相邻场" 英文翻译 : consecutive field; successive fields
- "相邻的" 英文翻译 : abutting; adjacent; consecutive; conterminous; contiguous; interfacing; limitrophe
- "相邻点" 英文翻译 : consecutive point
- "相邻房" 英文翻译 : adjacent room; adjoining room
- "相邻峰" 英文翻译 : adjacent peak
- "相邻孔" 英文翻译 : adjacent opening
- "相邻列" 英文翻译 : adjacency list; list, adjacency
- "相邻码" 英文翻译 : adjacent code
- "相邻面" 英文翻译 : adjacent surface
- "相邻区" 英文翻译 : adjacent region
- "相邻权" 英文翻译 : neighboring right relatedright; neighboring right; relatedright
- "相邻碳" 英文翻译 : adjacent carbons
- "相邻项" 英文翻译 : adjacency
例句与用法
- Compare to constant background image in common use , the arithmetic have highly nicety and steadily result
与常用的背景图像不变和相邻帧图像作差分等检测算法相比,本算法具有检测准确度高,抗干扰性强等特点。 - To mitigate the visual " popping " during the detail level transit , we introduce a deferred merging method to realize the geomorphing in terrain mesh refinement
为了减少相邻帧画面在地形不同层次细节之间变化所引起的几何跳跃,采用了滞后合并的方法来实现动态构网过程的几何过渡。 - The algorithm can be finished with automating in most case and suits for any scale image with unknown any parameter of camera . mosaic image is smooth and has no gap . 2
分析表明,本算法适宜于任何大小的图象并且不需要知道相机的任何参数(如焦距) ,对相邻帧图象之间相机的运动没有严格的限制。 - Regarding of the moving continuity and the small change of object ' s features in frames , a kind of cost function is put forward in the tracking and counting algorithm , which is applied in the tracking match of the image
跟踪计数是本算法的一个难点。根据该类多目标在相邻帧间运动具有连续性,并且包围窗口变化不大的特点,本跟踪计数算法改进了一种代价函数,应用于图像跟踪的匹配过程中。 - Through analyzing actual traffic scene , especially considering the video change between adjoining frames , this paper presents a robust and real - time method for extracting and updating background , and realizes the algorithm of vehicle detection based on background subtraction
摘要通过对交通场景实际情况的分析,特别是考虑到视频在相邻帧之间的变化,提出了一套鲁棒、实时的背景提取及更新算法,实现了基于背景差分算法的车辆检测和提取。 - Exploiting the frame coherence , the display of large scale texture is reduced to a caching problem in which texture memory serves as the primary cache for texture data , main memory the secondary cache , and local disk the tertiary cache
利用相邻帧之问的连贯性,大规模的纹理映射归结为纹理数据在各个存储之间的调度问题,从硬盘到系统内存及系统内存到纹理内存,通过各个层次的存储器,能够有效地执行远远超出纹理内存的大规模纹理映射。 - Based on the moving characteristics of small targets in ir image sequences , a judging method based on neighborhood is discussed and used . emulation results show this method can distinguish small target from sequences effectively . furthermore , it has lower computation requirements and uses fewer images for detection as well
在这里,采用基于邻域判决的方法,即根据目标运动的连续性和规则性,利用相邻帧中可疑目标之间的位置关系进行目标检测的方法,对前面处理过的二值图像进行了跟踪检测,并在实验中取得了比较理想的效果。 - Finding out the most resembled part as the matching part in the neighbor by using the present part , pointing at it by motion vector , then finding out the different part between the matching part and the present part , at last rebuilding the compressed frame by the matching part and the different part , this process is called motion compensation
用当前部分在相邻帧中寻找最相似的部分作为匹配部分,用运动矢量指向匹配部分,再用匹配部分与当前部分之间的差形成误差部分,以匹配部分和误差部分来重建压缩图像的过程叫运动补偿。 - Finally through comparison of test results based on the moving fish in color video sequences , the method presented in this paper combining with the hue information shows effective results for localization in color video sequences . and the determination method of initial position presented above improves object localization efficiency remarkably , at the same time a good robustness in partially occluded object localization in color video sequences has been acquired
最后,本文以彩色视频序列中运动的海鱼为实验研究对象,通过对实验结果分析比较发现,在该方法中使用色调信息能有效地实现彩色视频序列中的目标定位,利用视频中相邻帧之间的相关信息确定模型初始位置的简单方法,在解决确定模型初始位置的难题的同时,不但提高了定位效率,而且对彩色视频序列中有部分遮挡的目标定位同样具有鲁棒性。
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