A method of separating an object in a three dimensional point cloud, the method comprising: using an image acquirer, acquiring a three dimensional point cloud of an object; using a controller, eliminating an outlier from the three dimensional point cloud; using the controller, eliminating a plane surface area from the three dimensional point cloud, of which the outlier has been eliminated; and using the controller, clustering points of an individual object from the three dimensional point cloud, of which the plane surface area has been eliminated, wherein the eliminating of the outlier comprises: extracting a predetermined number of nearest points with respect to each point of the three dimensional point cloud; measuring an average distance between the each point and the nearest points; and eliminating the each point and the nearest points if an average distance between the each point and the nearest points is equal to or greater than a critical value, wherein the clustering of points of the individual object includes assigning a label to each point in the three dimensional point cloud by: extracting adjacent points (22, 32, 33, 34) that are within a first predetermined distance with respect to each point in the three dimensional point cloud, assigning the same label to the each point and to the adjacent points if the number of the adjacent points is equal to or greater than a critical value, and assigning the same label to the each point and an adjacent point that is within a second predetermined distance with respect to the each point if a label of the each point is different from a label of the adjacent point. using an image acquirer, acquiring a three dimensional point cloud of an object; using a controller, eliminating an outlier from the three dimensional point cloud; using the controller, eliminating a plane surface area from the three dimensional point cloud, of which the outlier has been eliminated; and using the controller, clustering points of an individual object from the three dimensional point cloud, of which the plane surface area has been eliminated, wherein the eliminating of the outlier comprises: extracting a predetermined number of nearest points with respect to each point of the three dimensional point cloud; measuring an average distance between the each point and the nearest points; and eliminating the each point and the nearest points if an average distance between the each point and the nearest points is equal to or greater than a critical value, extracting a predetermined number of nearest points with respect to each point of the three dimensional point cloud; measuring an average distance between the each point and the nearest points; and eliminating the each point and the nearest points if an average distance between the each point and the nearest points is equal to or greater than a critical value, wherein the clustering of points of the individual object includes assigning a label to each point in the three dimensional point cloud by: extracting adjacent points (22, 32, 33, 34) that are within a first predetermined distance with respect to each point in the three dimensional point cloud, assigning the same label to the each point and to the adjacent points if the number of the adjacent points is equal to or greater than a critical value, and assigning the same label to the each point and an adjacent point that is within a second predetermined distance with respect to the each point if a label of the each point is different from a label of the adjacent point. extracting adjacent points (22, 32, 33, 34) that are within a first predetermined distance with respect to each point in the three dimensional point cloud, assigning the same label to the each point and to the adjacent points if the number of the adjacent points is equal to or greater than a critical value, and assigning the same label to the each point and an adjacent point that is within a second predetermined distance with respect to the each point if a label of the each point is different from a label of the adjacent point.