In order to overcome the disadvantages of mesh-growing method for large-scaleor normal information needed or pre-processing needed data, a robust mesh-growing surface reconstruction algorithm based on Octree will be proposed. Starting from an octree for dividing points cloud into space. Then select the flattest point and its nearest two points to be the seed triangle, and put the three sides into the queue. And make principles to ensure the growing of points be close to the optimal. Finally, we judge the type of points to determine topology reconstruction. Compared with TightCocone algorithm, this algorithm can deal with point cloud data without the normal information and pre-progressing and the reconstruction results are good
A novel region growing algorithm is proposed for triangular mesh recovery from scattered 3D points. ...
Many applications produce three-dimensional points that must be further processed to generate a surf...
We survey and benchmark traditional and novel learning-based algorithms that address the problem of ...
AbstractSurface reconstruction algorithm is a research issue in the field of computer graphic, and i...
Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain ...
The surface reconstruction from cloud of points is a problem, which can be encountered in many appli...
We describe an algorithm to generate a manifold mesh from an octree while preserving surface feature...
Abstract. We present a fast and memory efficient algorithm that generates a manifold triangular mesh...
With the development of 3D laser scanning technology,the demand for 3D modeling of point cloud data ...
We describe an algorithm to generate a manifold mesh from an octree while preserving surface feature...
International audienceThis paper presents a flexible method to reconstruct simplified mesh surfaces ...
Abstract — In this paper we present a method for fast surface reconstruction from large noisy datase...
Abstract: A new surface reconstruction method, called shrink-wrapped boundary face (SWBF) algorithm,...
We describe a new method for surface reconstruction and smoothing based on unorganized noisy point c...
Abstract. We propose a method to reconstruct surfaces from oriented point clouds with non-uniform sa...
A novel region growing algorithm is proposed for triangular mesh recovery from scattered 3D points. ...
Many applications produce three-dimensional points that must be further processed to generate a surf...
We survey and benchmark traditional and novel learning-based algorithms that address the problem of ...
AbstractSurface reconstruction algorithm is a research issue in the field of computer graphic, and i...
Despite of the popularity of Delauney structure for mesh generation, octree based approaches remain ...
The surface reconstruction from cloud of points is a problem, which can be encountered in many appli...
We describe an algorithm to generate a manifold mesh from an octree while preserving surface feature...
Abstract. We present a fast and memory efficient algorithm that generates a manifold triangular mesh...
With the development of 3D laser scanning technology,the demand for 3D modeling of point cloud data ...
We describe an algorithm to generate a manifold mesh from an octree while preserving surface feature...
International audienceThis paper presents a flexible method to reconstruct simplified mesh surfaces ...
Abstract — In this paper we present a method for fast surface reconstruction from large noisy datase...
Abstract: A new surface reconstruction method, called shrink-wrapped boundary face (SWBF) algorithm,...
We describe a new method for surface reconstruction and smoothing based on unorganized noisy point c...
Abstract. We propose a method to reconstruct surfaces from oriented point clouds with non-uniform sa...
A novel region growing algorithm is proposed for triangular mesh recovery from scattered 3D points. ...
Many applications produce three-dimensional points that must be further processed to generate a surf...
We survey and benchmark traditional and novel learning-based algorithms that address the problem of ...