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目标物体

"目标物体"的翻译和解释

例句与用法

  • 5 . the 3d reconstruction algorithm with constrained triangulation has been tested on both simulate data and real images with satisfactory results . the long image sequence is taken from 360 degrees around the target
    采用带边缘约束的三角剖分算法,对模拟数据和存在遮挡的真实图像序列进行三维重建,这里的长图像序列是围绕目标物体一周拍摄得到的。
  • The position - based approach first estimates the position of the target object relative to the camera in cartesian coordinates , based on a geometrical model of the robot , its reachable work space ( task space ) and the target object
    基于位置的视觉伺服方法首先根据机器人的模型、可到达的工作空间以及目标物体来估计目标物体在直角坐标空间中相对于摄像机的位置。
  • In the research field of image processing and computer vision , object localization in color video sequences is one of the most active research topics in computer vision at present . wide application has been conducted in many fields
    在图像处理和计算机视觉的研究过程中,彩色视频序列中目标物体的定位是当前计算机视觉领域中一项最活跃的研究课题之一,在诸多领域中得到广泛应用。
  • The 10 x 10 grids can be used to deal with the image of 160 x 140 . only after processing 224 pixels , the reference figure center and average radius of object can be calculated by particle method . it is very effective to reduce processing area and to improve processing speed
    对160 140大小的图象以10 10网点处理,仅需处理224个象素点后,就可以通过质点法计算出目标物体的参考形心和参考平均半径,有效地减少了后续处理的图象面积,提高了处理速度。
  • For the object segmentation in textured background , a feature image segmentation algorithm is proposed according to the difference of texture energy distribution between textured background and objects in wavelet channels . then , the algorithm is modified to apply to texture segmentation and object segmentation in multi - textured background . it is showed that the algorithm gives a good feature representation not only between different textures but also texture and objects . and the correct segmentation result are obtained in our experiments . the dissertation consists of five chapters
    本文将小波分析这个数学工具引入到图象分割中,在深入研究小波变换特点的基础上,在小波标架下对纹理作出了定性的分析,针对纹理背景下的物体分割,根据纹理背景和目标物体经小波分解后各个通道的纹理能量值的不同分布,提出了特征图象分割算法,并将它改进用于纹理图象的分割及多纹理背景下的物体分割。
  • The results show that thinner radar absorbing coatings can strongly attenuate high frequency surface waves , while alternate using of thin radar absorbing coatings and thin radar absorbing coatings compounded by frequency selective surfaces can strongly attenuate wideband surface wave and it is possible that high performance balanced stealth of super wideband can be reached using the alternate radar absorbing coatings
    实验结果表明,低厚度的雷达吸波涂层就可以实现高频表面波的强衰减吸收,而频率选择表面与低厚度雷达吸波涂层相结合的复合涂层与雷达吸波涂层共同交替使用可以实现宽频段表面波的强衰减吸收,有望实现目标物体在宽频段范围内的高性能均衡雷达隐身。
  • The image features of object and ambiance in the real robot visual servo system are analyzed . the method of object recognition based on image segmentation and corner detection is presented . an image is segmented into several regions by image segmentation
    分析了实际的机器人视觉系统中目标物体以及环境的图像特征,提出基于图像分割与角点检测的物体识别方法,通过图像分割将整幅图像分割为一个个的单一物体区域,分别利用角点检测,找出与模板角点信息相匹配的区域,然后利用基于模糊自适应操作算子遗传算法的图像匹配方法寻求最优匹配。
  • Morphing is the continuous smooth and natural transformation of a source object into a target object , where the object can be a numerical image , curve , surface , mesh , etc . morphing has very wide use in many areas , such as computer graphics , animation design , industrial modeling , science computation visualization , film stunt , etc . this paper makes researches on the morph of compatible planar triangulations and that of planar polygons , and the main results are as follows : 1 ) morph of compatible planar triangulations : this paper presents a convexity - preserving method for morphing compatible planar triangulations with different convex boundaries
    变形,是指从初始物体到目标物体的连续、光滑、自然的过渡(这里的物体可以是数字图像、曲线、曲面、网格等) 。变形在许多领域有着十分广泛的应用,如计算机图形学、动画设计、工业造型、科学计算可视化、电影特技等。本文对同构平面三角网格的变形和平面多边形的变形进行了研究,主要的研究结果如下: 1 )同构平面三角网格的变形:提出了具有不同凸边界的同构平面三角网格的保凸变形方法。
  • The arithmetic , which aimed at the character of object localization and tracking of robot vision system with one camera and based on characteristic color as object character and applied figure distinguishing arithmetic and object edge detection , completed object localization and tracking by obtaining position feature point coordinate on image plane
    此算法针对单摄像机机器人视觉系统目标定位与跟踪的特点,基于特征颜色为目标特征,辅以形状判别算法和目标边缘检测,通过获取目标物体在图像中的位置特征点坐标,来完成对目标物体的定位与跟踪。
  • The general process of recognition of objects is the following : firstly , segment objects from the image . secondly , calculate the invariant independent of transformation of objects according to the description of contour . finally recognize the object with some algorithms in pattern recognition
    图像物体识别的一般步骤是先将待识别的目标物体从图像和图像里的其它物体中分割出来,然后通过对其边界轮廓进行有效的描述,寻找各种变换下与物体描述无关的不变量,最后采用模式识别的一些方法实现对图像中目标物体的识别。
  • 更多例句:  1  2  3
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