Generating categorical depth maps using passive defocus sensing
AssigneeStanford University
InventorsIllah Reza Nourbakhsh, David Andre
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AssigneeStanford University
InventorsIllah Reza Nourbakhsh, David Andre
Estimating the term…
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.
A method for generating a categorical depth map of a scene, the depth map comprising m depth map regions, where m.gtoreq.1, the method comprising the steps of:
A device for producing a categorical depth map of a scene, the depth map comprising m depth map regions, where m.gtoreq.2, the device comprising:
A mobile robot comprising:
Dependencies are inferred from the claim text.