首页|平行轮廓多特征约束的三维表面重建

平行轮廓多特征约束的三维表面重建

扫码查看
针对传统轮廓线表面重建方法在离散特征点稀疏、部分边界缺失、相邻轮廓线间距较远且形状相似度低等情形时出现的跨距扭曲、生成大量退化三角形、三角片重叠与间断等问题,提出了一种融合角度和多维度欧式距离的多特征约束重建方法.利用辅助空间内插和最近邻搜寻计算匹配的起点;基于轮廓形状特征的量化,通过等角度投影插值和角平分线插值构造辅助点以规避点匹配中的多对一问题,针对复杂凹轮廓和特征点扁平分布等情形下角度失效,利用距离等分插值作为角度插值的补充;为削弱源轮廓与目标轮廓的相似度低缺陷,利用反距离定权插值进行轮廓加密;依据最近邻迭代生成起始跨距和等角度映射生成控制跨距提供全局约束,通过跨距最短规则生成剩余跨距提供局部约束.较好地实现了约束规则对局部和全局的兼顾,削弱了轮廓凹凸性与形状复杂性对特征量度有效性的限制.实验结果表明,该方法能兼顾基本三角面片的性质与镶嵌过程,实现形状相似度低且点数互异的稀疏轮廓线离散点的重建,有效解决稀疏剖面下的复杂表面重建问题.
3D surface reconstruction with multiple feature constraints from parallel contours
In response to the problems of cross-distance distortion,the generation of a large number of degenerate triangles,triangular patch overlap and discontinuity that occur in traditional contour surface reconstruction methods when there are sparse discrete feature points,missing parts of the boundary,large distances between adjacent contours,and low similarity in shape,etc.The paper proposes a multi-feature constrained reconstruction method that fuses angle and multi-dimensional Euclidean distance.The method uses auxiliary space interpolation and nearest neighbor search to calculate the starting points of matching;it constructs auxiliary points by using equal angle interpolation and angle bisector interpolation based on the quantization of contour shape features to avoid the problem of multiple-to-one matching in point matching;it uses distance equal division interpolation as a supplement to angle interpolation when the angle fails in complex concave contours and feature point flat distribution;it uses inverse distance weighted interpolation to enhance the similarity between the source contour and the target contour;it provides global constraints by generating starting stride and equal angle mapping to generate control stride based on the nearest neighbor iteration,and provides local constraints by generating remaining stride based on the shortest diagonal rule.It has achieved a better balance between local and global constraints,thereby weakening the limitations of contour curvature and shape complexity on the effectiveness of feature measurement.The experimental results show that the proposed method can take into account the properties of basic triangular patches and the Mosaic process,realize the reconstruction of sparse contour discrete points with low shape similarity and different points,and effectively solve the complex surface reconstruction problem under sparse profile.

profile contour modelingpoint group optimizationangle equalizationequal-angle mapping

姚锦鹏、简兴祥、赵阳、林宏伟、段芸、周赫

展开 >

成都理工大学地球物理学院,成都 610059

地球勘探与信息技术教育部重点实验室,成都 610059

四川省紫坪铺开发有限责任公司,成都 610091

中国石油大学(华东)海洋与空间信息学院,山东青岛 266404

展开 >

剖面轮廓线建模 点群优化 角度均衡化 等角度映射 多特征约束

国家自然科学基金项目四川省科技项目

4227413224ZHSF0299

2024

测绘科学
中国测绘科学研究院

测绘科学

CSTPCD北大核心
影响因子:0.774
ISSN:1009-2307
年,卷(期):2024.49(5)