A city special-shaped building individualization reconstruction method based on tilt model data
By combining deep learning with traditional 3D geometric algorithms, the 3D mesh model of irregular-shaped buildings is automatically reconstructed, which solves the problem of low accuracy in the reconstruction of irregular-shaped buildings in existing technologies and realizes efficient automatic segmentation and structured reconstruction of irregular-shaped buildings.
CN120510303BActive Publication Date: 2025-10-24WUDA GEOINFORMATICS CO LTD
Patent Information
- Application Number
- CN202510970369.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-10-24
- Estimated Expiration
- 2045-07-15
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Figure CN120510303B_ABST
Abstract
The application provides a city special-shaped building individualization reconstruction method based on tilt model data, identifies single buildings based on deep learning, Euclidean clustering and graph cut method, fits feature planes of the single buildings based on a point cloud plane fitting algorithm, identifies complex special-shaped buildings according to the gradient distribution of the normal vectors of the feature planes, simplifies the three-dimensional Mesh model of the special-shaped buildings, fills textures and the like, realizes the reconstruction of the complex special-shaped building model, solves the problem that the current mainstream city building individualization reconstruction algorithm is only applicable to ordinary regular buildings and cannot realize the automatic individualization segmentation and three-dimensional structured reconstruction of special-shaped buildings, and significantly improves the automation rate and efficiency of the reconstruction of city scene special-shaped buildings.
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Citation Information
Patent Citations
Three-dimensional building model construction method and device, electronic equipment and storage medium
CN112927370A
Real scene three-dimensional model data rendering optimization method and system
CN116342783A