The invention relates to the field of 3D rendering, in particular to an intelligent scenic area three-dimensional image rendering method, which introduces a differentiable discrete decision into 3D fusion, supports end-to-end learning of a k value, performs discrete-
continuous optimization based on an
activation function, predicts an optimal k value of each
voxel, introduces feature adaptive fusion based on dynamic neighborhood bidirectional retrieval, and realizes the 3D image rendering of the scenic area. The alignment of the
color image and the
point cloud is enhanced, the
false detection rate of a
small target is reduced, the detail reconstruction capability of a
large target is improved, and the comprehensive rendering capability of a scenic spot is improved; according to the method, a lightweight grid is adopted to express a scenic spot subject, residual
Gaussian is introduced to supplement high-frequency detail features, the number of
Gaussian is reduced, rendering efficiency and capability are improved, textures are generated based on initial rendering
back projection, fuzzy
view angle dependence is avoided,
hierarchical clustering and contour extraction from bottom to top are adopted on the basis, and the method is more efficient and efficient. The
point cloud vertical structure change is dynamically detected, the
point cloud is complemented, the accurate contour is extracted, the number of grid vertexes is reduced, and the rendering integrity is improved.