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    • 1. 发明公开
    • METHOD AND APPARATUS FOR REFINING TARGET POSITION AND SIZE ESTIMATES USING IMAGE AND DEPTH DATA
    • 用于改善目标的位置和大小的方法和设备估计数。使用的图像和深层数据的
    • EP1687755A2
    • 2006-08-09
    • EP04822225.1
    • 2004-07-06
    • Sarnoff CorporationFORD MOTOR COMPANY
    • SOUTHALL, JohnCAMUS, TheodoreHIRVONEN, David
    • G06K9/00
    • G06K9/00624G06T7/55
    • A vehicle vision system that uses a depth map, image intensity data, and system calibration parameter to determine a target's dimensions and relative position. Initial target boundary information is projected onto the depth map and onto the image intensity. A visibility analysis determines whether the rear of a target is within the system's field of view. If so, the mapped image boundary is analyzed to determine an upper boundary of the target. Then, vertical image edges of the mapped image boundary are found by searching for a strongest pair of vertical image edges that are located at about the same depth. Then, the bottom of the mapped image boundary is found (or assumed from calibration parameters). Then, the target's position is found by an averaging technique. The height and width of the target are then computed.
    • 一种车辆视觉系统那样使用的深度图,图像强度数据,并且确定矿的目标的尺寸和相对位置的系统的校准参数。 初始目标边界信息被投影到所述深度图和到图像强度。 甲可视性分析确定性地雷无论靶的背面是视系统的视场内。 所以映射图像边界如果在靶的上边界进行分析,以确定矿。 然后,将映射的图像边界的垂直图像边缘通过搜索最强的一对垂直的图像边缘的并位于约相同的深度找到。 然后,将映射的图像边界的底部被发现(或从校准参数假定的)。 然后,目标的位置由技术均发现。 所述目标的高度和宽度,然后计算。