论文标题
基于稀疏数据的3D表面重建具有矢量匹配
Sparse-data based 3D surface reconstruction with vector matching
论文作者
论文摘要
本文考虑了基于二维稀疏信息的三维稀疏信息的形式，仅在本文中考虑了中等复杂的结构，其中包含结构性和非结构化的几何形状。已经提出了一个新的模型，该模型基于使用正常矢量匹配与一阶和二阶总变异正规化器相结合的想法。还提出了基于增强拉格朗日的快速算法。提供了数值实验，显示了模型和算法在重建表面具有详细特征和复杂结构的算法的有效性，用于合成和现实世界数字地图。
Three dimensional surface reconstruction based on two dimensional sparse information in the form of only a small number of level lines of the surface with moderately complex structures, containing both structured and unstructured geometries, is considered in this paper. A new model has been proposed which is based on the idea of using normal vector matching combined with a first order and a second order total variation regularizers. A fast algorithm based on the augmented Lagrangian is also proposed. Numerical experiments are provided showing the effectiveness of the model and the algorithm in reconstructing surfaces with detailed features and complex structures for both synthetic and real world digital maps.
