3D Reconstruction Method of Waterfront Recreational Landscape Space Based on Artificial Intelligence and Fuzzy Algorithms The paper proposes a method of building threedimensional landscape entity model based on digital measurement. First, we use the relationship between the threedimensional landscape images to build a rendezvous model, then get the coordinates of the landscape points systematically. Third, we calculate the translation and rotation relationship between the camera coordinate system and the world coordinate system and correct the distorted image points. Finally, we use the corrected threedimensional coordinate points to realize the threedimensional landscape entity model. The experimental results show that the proposed model has the characteristics of high accuracy and fast speed, which provides a feasible basis for the construction of digital.

Pose Estimation of 3C Components Based on Monocular 2D Camera In order to accurately and effectively estimate the pose of 3C product components in the manufacturing process and meet the needs of intelligent production, this paper proposes a complete 3C component pose estimation technology scheme based on the Perspective nPoints algorithm, and also analyzes and verifies the impact of errors in theoretical derivation and experiment. Showing in the framework, firstly, we compared common monocular camera pose estimation algorithms to choose the suitable one, identified and analyzed the factors affecting the accuracy of pose estimation, then the whole design of marker points is discussed and the corresponding image detection and localization algorithm is optimized. After completing the above theoretical analysis and realization, an accomplished technical workflow is formed. Through 3D software simulation and actual experiment, the effectiveness and accuracy of the pose estimation scheme in monocular camera case are verified, and the theoretical basis for realizing the higher precision in multicamera case is also provided.