3D Landscape Entity Modeling Based on Geometric Elements and Computer Aided Design

Traditional landscape design methods are often limited to 2D plane drawings due to technical limitations, and it is difficult to truly and accurately show designers' ideas and expected effects. Computer-aided design (CAD) technology can generate 3D models quickly and accurately by using the powerful computing and processing capabilities of computers, so that designers can view and design landscape space more intuitively. The research goal is to explore a method combining geometric elements, CAD and machine learning (ML) to improve the efficiency of 3D landscape entity modeling. In this article, an optimization algorithm of 3D landscape entity modeling based on ML is proposed. By intelligently adjusting parameters, the algorithm significantly improves the efficiency of the modeling process and ensures the accuracy of the modeling. The results show that the algorithm is excellent in image feature detection and has high accuracy. In addition, the algorithm can also provide suggestions for optimizing the model according to the learning and analysis of the historical model, so that the final landscape model can meet the design requirements more. © 2024 U-turn Press LLC.