Noise Robust Surface Reconstruction by Combining PU and Graph-cut
نویسندگان
چکیده
منابع مشابه
Continuous global optimization in surface reconstruction from an oriented point cloud
We introduce a continuous global optimization method to the field of surface reconstruction from discrete noisy cloud of points with weak information on orientation. The proposed method uses an energy functional combining flux-based data-fit measures and a regularization term. A continuous convex relaxation scheme assures the global minima of the geometric surface functional. The reconstructed ...
متن کاملRobust Surface Reconstruction from Noisy Point Clouds using Graph Cuts
This work is concerned with the implementation and evaluation of a surface reconstruction approach, which is highly robust against outliers. The chosen approach has a range of appealing properties. First of all, it manages to incorporate a keypoint-based visibility constraint, which leads to a very high resilience to outliers. Secondly, it is based on a Delaunay triangulation, which makes the a...
متن کاملSpectral Surface Reconstruction from Noisy Point Clouds
1. Briefly summarize the paper’s contributions. Does it address a new problem? Does it present a new approach? Does it show new types of results? [AS] This method presents a new approach to the problem of surface reconstruction from a noisy point cloud without requiring normal information. They introduce spectral methods for partitioning graphs into the problem surface reconstruction. Their a...
متن کاملRobust and Efficient Surface Reconstruction From Range Data
We describe a robust but simple algorithm to reconstruct a surface from a set of merged range scans. Our key contribution is the formulation of the surface reconstruction problem as an energy minimisation problem that explicitly models the scanning process. The adaptivity of the Delaunay triangulation is exploited by restricting the energy to inside/outside labelings of Delaunay tetrahedra. Our...
متن کاملSearching the Optimal Threshold for Voxel Coloring in 3D Reconstruction
Voxel coloring is one of the well-known methods for reconstructing a 3D shape from 2D images. The conventional methods cause a trade-off problem between precision and stability, when they reconstruct 3D shapes. In this paper, we present a novel approach to solve the trade-off problems. This method searches the real surface voxel on comparing the photo-consistency of an inside voxel on the optic...
متن کامل