Fast, high-precision texture maps and high-frame-rate level of detail (LOD) generation for realistic 3D models are foundational data infrastructures for smart cities. However, LOD generation faces three main issues: reduced model accuracy from mesh simplification, inefficient texture memory utilization, and browsing lag with detail loss. This paper proposed a novel LOD rendering method with multilevel structure-keeping mesh simplification and fast texture alignment for realistic 3D models. Firstly, a multilevel structure-keeping mesh simplification method with mesh segmentation and vertex classification was used to generate a simplified mesh with high-precision structure preservation. Secondly, a fast texture alignment method was proposed that uses segmentation information and LSCM parameterization to acquire texture blocks. The method integrated integral images and a precise multi-template strategy to align texture blocks to obtain texture maps with high completeness and high occupancy. Finally, by integrating these methods, an LOD generation method with fast multilevel pyramid construction and adaptive tree organization is proposed. This method achieved high-precision multilevel structure-keeping, along with a high occupancy rate of texture maps, facilitating a high frame rate for LOD model construction. Compared with QEF, QEM, low-poly, CGAL and Nvdiffrec, the proposed mesh simplification algorithm demonstrated average accuracy improvements of 12.1%, 24.2%, 57.1%, 17.9% and 3.2%, respectively. Compared with OpenMVE, ContextCapture and Xatlas, the proposed texture alignment algorithm achieved average occupancy improvements of 27.74%, 11.89% and 4.80%, respectively. Compared with the state-of-the-art ContextCapture and Smart3D, the proposed method for browsing large-scale realistic 3D models increased the frame rate by 17.3% and 14.4%, respectively.

Level of detail (LOD); Multilevel mesh simplification; Fast and precision texture alignment; High-frame-rate LOD model; 3D reconstruction

Wuhan University