摘要
提出一种根据给定精度从有边界点云数据生成偏移细分曲面新方法.它是基于有边界的Loop细分,运用细分的局部特性,通过循环修正、优化、自适应细分域曲面的控制网格,使域曲面不断逼近点云数据,通过对域曲面的标量偏移来表示待构曲面的细节特征.利用细分曲面的任意拓扑适应性、整体连续性,重构出具有细节特征的无需裁剪和拼接的待构物体偏移细分曲面.实例表明,该算法不仅具有稳定性,同时构造出的细分曲面还具有较高的重构精度,较好地满足工程实际需要.
A new approach to reconstruction of displaced subdivision surface from point cloud with boundary is proposed. Based on the adaptive Loop subdivision with boundary, domain surface is generated by adaptive subdividing, adjusting and optimizing the control mesh in order to let the control mesh of the domain surface fit the point cloud. Surface details are represented by a displacement map over the smooth subdivision domain surface. The reconstructed displaced subdivision surfaces are globally continuous and need not to trim and patch. Examples demonstrate that the algorithm is stable. The reconstructed surfaces have been used in practice with high precision.
出处
《上海大学学报（自然科学版）》
CAS
CSCD
北大核心
2006年第5期467-472,共6页
Journal of Shanghai University:Natural Science Edition
基金
江苏省高校自然科学基金资助项目(04KJD430213)
江苏省青年科研基金资助项目(BQ2000004)
盐城市自然科学基金资助项目(YK2005016-10)
关键词
细分曲面
偏移曲面
逆向工程
点云数据
曲面重构
subdivision surface
displaced surface
reversion engineering
point cloud
surface reconstruction
