The invention provides a method for searching contour
noise points of a three-dimensional
point cloud data, and the method is used for searching the contour surface
noise points of the three-dimensional
point cloud data based on an
optical surface scanning three-dimensional measurement
system. The method comprises the following steps of: searching and cancelling remote
noise points on the contour surface of the three-dimensional
point cloud data; and computing the normal vectors of all points in the three-dimensional point
cloud data, searching the contour noise points of the three-dimensional point
cloud data, etc. According to the method, a good man-
machine interaction function can be realized, and the contour noise points of the three-dimensional point
cloud data can be efficiently and exactly searched, so that an
effective method for improving the quality of the point cloud data can be provided. When the method is specifically realized, the searched noise points are firstly marked to be the color which is different from the other data points, to be distinguished, and are stored in a special
dynamic array. Finally, if the noise points are confirmed to be capable of being cancelled, the noise points which are marked and stored in the
dynamic array are removed. Therefore, the fairness of the contour surface of the point cloud data can be effectively improved, and the stereoscopic vision effect can be improved.