CAJ | 학술논문

针对密集点云数据与CAD模型的配准问题,提出了一种基于简化模型曲率计算的配准方法。该方法通过计算简化模型和CAD模型各点的曲率提取出两模型上某一对应的特征面,根据特征面求出三组对应点对并计算坐标变换矩阵;把得到的变换矩阵应用于简化前的原始点云模型实现模型的预配准;最后通过奇异值分解和最近点迭代相结合的算法实现精确配准。实例表明,该方法实现了密集点云数据与CAD模型的配准,并在保证配准精度的前提下提高了配准的速度,从而验证了方法的有效性和实用性。
침대밀집점운수거여CAD모형적배준문제,제출료일충기우간화모형곡솔계산적배준방법。해방법통과계산간화모형화CAD모형각점적곡솔제취출량모형상모일대응적특정면,근거특정면구출삼조대응점대병계산좌표변환구진;파득도적변환구진응용우간화전적원시점운모형실현모형적예배준;최후통과기이치분해화최근점질대상결합적산법실현정학배준。실례표명,해방법실현료밀집점운수거여CAD모형적배준,병재보증배준정도적전제하제고료배준적속도,종이험증료방법적유효성화실용성。
For the matching problem between dense cloud data and CAD model,a registration method based on curvatures calculation of simplified model was proposed.Feature surfaces were extracted based on the curvature of simplified and CAD model,three corresponding points were searched through feature surfaces,and the transformation matrix was computed.Then the obtained matrix was applied to original cloud data to achieve pre-registration.The last step was accurate registration that achieved through SVD-ICP algorithm.Experimental results show that the method can realize registration between dense cloud data and CAD model,and demonstrate the efficiency and practicality of the method.