A Two-Phase Approach of Progressive Mesh Reconstruction from Unorganized Point Clouds

摘要: This paper presents a practical approach for surface reconstruction from unoriented point clouds. Instead of estimating local orientation, we first generate set depth images the input clouds, and coarse mesh is then generated based on them by space carving techniques. The resultant progressively refined refinement optimization according to distance measure. A manifold approximating points within an given tolerance finally obtained. Our easy implement, but has ability outputs high quality meshes in different resolutions. We show that proposed not sensitive several types data disfigurement able reconstruct models robustly variance data.