The invention provides a door and window
point cloud shape detecting method and
system based on
laser point cloud data. The door and window
point cloud shape detecting method based on the
laser pointcloud data includes the steps of: pre-
processing original point
cloud data to obtain the point
cloud data with gross errors removed and conducting
edge extraction, determining the point cloud shape according to the result of
edge extraction; projecting a 3D point cloud to 2D in the direction perpendicular to the plane of a door frame, dividing grids and extracting internal grids in the middle position, determining whether the number of points in the internal grids is greater than a preset corresponding threshold to know that the point cloud shape is a L shape if so and that the point cloud shape is another shape if not, splitting
edge extraction results of the point cloud into four parts: up, down, left, and right, performing corresponding judgment fitting on the upper part and fitting theleft, right and bottom parts of the edge of the point cloud; fitting data and point
cloud data to calculate fitting error point by point, calculating
coefficient of determination, and extracting thefitting parameters of the
coefficient of determination which meet the corresponding threshold. The door and window point cloud shape detecting method and
system based on the
laser point cloud data have the advantages of being simple, effective, high in precision, easy to implement and of important market value.