公开(公告)号：KR1020090092486A

公开(公告)日：2009-09-01

申请号：KR1020080017750

申请日：2008-02-27

Applicant: 성균관대학교산학협력단

Inventor： 이석한 ,  박준영 ,  백경근 ,  박연출

IPC: G06T17/00

CPC classification number: G06T17/205 ,  G06T3/4053 ,  G06T2210/56

Abstract: A self modeling method of a 3D rotating symmetrical object and an apparatus thereof are provided to grasp the whole shape of an object by estimating the geometric shape of the object from partial data. The main axis of a 3D point cloud is estimated(S10). The 3D point cloud is divided into 3D points belonging to each plane. The center points of each plane are obtained. A center point cloud is obtained(S20). An intrinsic vector having the biggest eigenvalue is selected as a new main axis(S30). When the previous main axis and new main axis exist within a threshold value, the new main axis is selected as the direction vector of the center axis of the 3D object(S42).

Abstract translation: 提供3D旋转对称物体的自建模方法及其装置，以通过从部分数据估计物体的几何形状来掌握物体的整体形状。 估计3D点云的主轴（S10）。 3D点云被分为属于每个平面的3D点。 获得每个平面的中心点。 获得中心点云（S20）。 选择具有最大特征值的固有矢量作为新的主轴（S30）。 当前一主轴和新主轴存在于阈值内时，选择新的主轴作为3D对象的中心轴的方向矢量（S42）。

公开(公告)号：KR100927335B1

公开(公告)日：2009-11-19

申请号：KR1020080017750

申请日：2008-02-27

Applicant: 성균관대학교산학협력단

Inventor： 이석한 ,  박준영 ,  백경근 ,  박연출

IPC: G06T17/00

Abstract: A self modeling method of a 3D rotating symmetrical object and an apparatus thereof are provided to grasp the whole shape of an object by estimating the geometric shape of the object from partial data. The main axis of a 3D point cloud is estimated(S10). The 3D point cloud is divided into 3D points belonging to each plane. The center points of each plane are obtained. A center point cloud is obtained(S20). An intrinsic vector having the biggest eigenvalue is selected as a new main axis(S30). When the previous main axis and new main axis exist within a threshold value, the new main axis is selected as the direction vector of the center axis of the 3D object(S42).

Abstract translation: 提供3D旋转对称物体的自建模方法及其装置，以通过从部分数据估计物体的几何形状来掌握物体的整体形状。 估计3D点云的主轴（S10）。 3D点云被分成属于每个平面的3D点。 获得每个平面的中心点。 获得中心点云（S20）。 选择具有最大特征值的固有矢量作为新的主轴（S30）。 当先前主轴和新主轴存在于阈值内时，选择新主轴作为3D目标的中心轴的方向矢量（S42）。