Research on Stylization of Landscape Drawing Rendering Based on Computer Vision Techniques

With the rapid development of computer vision technology, rendering and stylization of landscape drawings have become the focus of attention in the field of design. This paper aims to study the rendering stylization method of landscape drawings based on computer vision technology and discuss how to apply advanced vision algorithms to the automatic stylization of landscape design drawings. This paper reviews the application status of computer vision technology in the field of landscape design and analyzes the challenges and opportunities faced by the current technology. This paper proposes a new landscape drawing stylization framework, which combines deep learning, image processing and pattern recognition techniques to achieve efficient rendering and stylization of landscape drawings. By learning and training on a large amount of landscape drawing data, the model is able to recognize and simulate different rendering styles, thus providing designers with a variety of design solutions. In addition, the paper explores the importance of user interaction in the stylization process and proposes a user-oriented stylization approach that allows designers to customize and adjust rendering effects through simple interactions. Finally, the effectiveness and practicability of the proposed method are verified through a series of experiments. The experimental results show that the proposed method can significantly improve the quality and efficiency of landscape drawing rendering, and bring new technical innovations to the field of landscape design.