Computer Aided Interactive Design of Optimal Interpolation Curve

Abstract

In many designs, it is need to interact with three-dimensional images. However, under the processing of the original three-dimensional image interaction system, the image interaction effect is poor, which can't meet the requirements of industry standards. The application of virtual reality (VR) can carry out visual simulation and make people form a good sensory experience, which is the most important choice in engineering design and image simulation. In this article, a computer-aided design (CAD) interactive design strategy based on the best interpolation curve is proposed. Deep learning technology is used to assist VR 3D image modeling, and the proposed VR 3D image modeling algorithm is used for image recognition. The simulation results show that compared with the support vector machine (SVM) algorithm, the VR image modeling method proposed in this article has the highest accuracy improvement of 25.76%, and can effectively solve the problems of unclear and insufficient stereo images. After the test, the system has a high definition of image recognition, and can accurately recognize and process images interactively. Therefore, in the process of interactive processing of 3D images, it is suggested that the 3D image interactive system should be designed reasonably according to the application characteristics and conditions of VR, so as to improve the design effect of the system and promote the good recognition and interactive processing of 3D images.