localization of object creation 对象创建的局部化
localization of -d object d物体定位
Localization of Macroscopic Object 宏观物体空间局域化
A localization and object tracking approach based on statistical operators and graph searching algorithms is presented for a team of robots localized with heterogeneous sensors.
以统计的操作员和曲线图搜索运算法则为基础的一个局限和物体追踪方式为与异种的感应器一起本土化的一队机械手被呈现。
So in this method, Firstly, using accumulating frame difference, we obtain the exact moving object localization which makes up the incompletely of the edge gotten by the frame difference.
因此，本文算法首先利用累积帧差，弥补了两帧帧差所得边界的不完整性，得到准确的运动对象的定位；
The precise edge detection in range image was the base of 3-D object recognition and localization.
深度图像边缘提取是物体识别和定位的基础。
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