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Generating categorical depth maps using passive defocus sensing

机译:使用被动散焦感应生成分类深度图

摘要

A method is disclosed for generating a categorical depth map of a scene using passive defocus sensing. In a preferred embodiment three synchronized CCD cameras focused at different distances detect three images of the same scene. An image processor partitions the images into an array of regions and calculates a sharpness value for each region. The sharpness value for a region is calculated by summing over all pixels (x, y) in the region the absolute difference in the intensity value of a pixel (x,y)( with pixel (x-k,y-l), where k and l are constants. The image processor then constructs a depth map of the scene by determining for each region the image with the greatest sharpness in that region. An application of the invention to a mobile robot control system is described in detail. Among other applications, the method may be used for collision avoidance, object detection, and speed measurement.
机译:公开了一种用于使用无源散焦感测来生成场景的分类深度图的方法。在一个优选实施例中,聚焦在不同距离处的三个同步CCD相机检测同一场景的三个图像。图像处理器将图像划分为区域阵列,并为每个区域计算清晰度值。区域的清晰度值是通过将区域中所有像素(x,y)的像素(x,y)的强度值的绝对差与像素(xk,yl)求和而得出的,其中k和l为然后,图像处理器通过为每个区域确定在该区域中具有最大清晰度的图像来构造场景的深度图,详细描述本发明在移动机器人控制系统中的应用。可用于避免碰撞,物体检测和速度测量。

著录项

  • 公开/公告号US5793900A

    专利类型

  • 公开/公告日1998-08-11

    原文格式PDF

  • 申请/专利权人 STANFORD UNIVERSITY;

    申请/专利号US19950581245

  • 发明设计人 ILLAH REZA NOURBAKHSH;DAVID ANDRE;

    申请日1995-12-29

  • 分类号G06K9/00;G06K9/40;

  • 国家 US

  • 入库时间 2022-08-22 02:38:54

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