Histogram based L-shape detection of target objects
Abstract:
A method of detecting L-shaped target objects within a point cloud includes rotating a target point cloud through a plurality of rotation angles and generating at least one weighted histogram for each of the plurality of rotation angles, wherein the weighted histogram includes a first plurality of bins, each bin having a width defined in a first axis, wherein each bin is weighted based on a number of points located within the bin and a distance between points in a direction perpendicular to a width of the bin. A score is generated for each of the plurality of rotation angles based on the at least one weighted histogram and determining whether a target point cloud is L-shaped based on the generated scores.
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