目标深度 meaning in English
depth of target
target depth
Examples
- On the basis of such a result , the depth information is computed by using the disparity of corresponding points in two images
在此基础上,利用对应点的视差计算基于双ccd成像的目标深度信息。 - From this method we can obtain a better signal to clutter ratio , and improve the resolution , so we can position the target accurately
对实际探测数据的分析表明，这种方法不仅可有效的抑制杂波，还可获得目标反射时间的准确信息，为进一步确定目标深度提供条件。 - Shallow depth refers to the targets ’ depth within 0 . 5m . the clutter and ground surface reflection is severe due to the complex environment and other factors on this depth of ground , so the targets signal will be impact without processing
浅地层是指目标深度在0 . 5米以内的范围,在这个深度上,地下环境复杂,地面反射及其他因素对目标回波的影响较大,如果不加以处理,目标信号将被其他杂波淹没。 - Based on perspective model , it was proposed that drawing camera inner parameters with physics method ; in image processing , especially the particularity of robot object localization and tracking , it was proposed that several effective methods of image smoothing and sharpening , edge detection , boundary tracking ; at the same time , in order to complete object recognition , we introduced the methods of drawing object character parameters ; in object image matching , two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration , we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points , and completed object movement parameters estimate and object tracking and prediction , and presented experimental result
以透视成像模型为基础，提出了用物理方法来提取摄像机内部参数；从图像处理角度出发，针对机器人目标定位与跟踪的特殊性，提出了几种行之有效的图像平滑、锐化、边缘提取以及边界跟踪的方法；同时，为了完成目标的识别，介绍了目标特征参数的提取方法；在目标图像匹配上，提出了两种快速有效的目标匹配算法；基于目标深度信息恢复原理，提出两种目标特征点三维坐标恢复的方法，同时完成了目标运动参数估计和目标的跟踪与预报，并最后给出了实验结果。 - In order to acquire 3d spatial position and motion parameters of moving target , the limitation of second focus method to get the depth of target is analyzed according to perspective projection model of target centroid . then , the constraint for obtaining 3d position and motion parameters of moving target centroid from monocular image sequence is presented and proved in this paper . with this constraint , a nonlinear extended kalman filter algorithm for estimating 3d spatial position and motion parameters of moving target centroid from monocular image sequence is proposed
进一步，为获取目标的空间位置和运动参数等三维信息，在目标和成像系统都运动的情况下，根据目标质心的透视投影成像模型，首先分析了二次成像法获取目标深度信息的缺陷；然后给出了由单目序列图像获取目标质心的空间位置和运动参数的条件，并提出利用多帧单目序列图像和应用非线性扩展卡尔曼滤波算法来估计目标质心的空间位置和运动参数；最后对提出的估计方法进行了多组仿真验证，证明该方法可行有效。