With the exponential improvement of the integration capabilities of electronic hardware devices, digital images have become an indispensable information carrier, thus promoting the development of image recognition, detection, or tracking technologies. At present, there is a blank in the field of image recognition measured by the action standard of yoga standing three-dimensional movement, which will bring huge room for researchers to play. Based on the traditional image recognition technology, there are cases where missed detection or false detection cannot be correctly identified and made a correct judgment. In this paper, the ability to capture the action is improved by optimizing the network for the positioning of the stereoscopic action target of the yoga station. The linear discriminant analysis (LDA) after adding optimization is used to reduce the dimensionality of the captured image data, which is beneficial to improving image recognition rate and reducing image loss rate. Through the analysis of the three-dimensional movement of the yoga station, the model based on the improved algorithm is compared with the traditional model, and the final image recognition accuracy is improved compared with the network model before the improvement. The image recognition error rate steadily tends to 5%, and the loss rate is also below 2%. Through the optimized convolutional neural network, this paper can accurately capture the image position, and the recognition rate has also been greatly improved, which can provide a reference for future research in other fields.

3D printing technology is a modern technical means and process based on three-dimensional molding, digital manufacturing, reverse engineering, and other emerging fields. 3D printing ceramics is one of the diversified designs of modern ceramics. At the same time, with the development of 5G technology, the platform access method will make 3D printing easier and more common. The purpose of this paper is to study the printing, preparation, and sintering processes of ceramic materials based on 3D printing technology and realize the rapid prototyping of ceramic parts, which can meet the requirements of low-cost, single-piece, and small-batch processing. This paper proposes to focus on the research on materials, design methods, and technological processes suitable for ceramic 3D printing technology from the perspective of the integration of art and science. By using 3D printing technology to perform geometric functions, mixing, recombination, and other cutting-edge tasks, the composite design of works is enhanced. The experimental results show that in the high temperature sintering stage, 1600°C is the holding temperature, the heating rate is 0.5°C/min, and the holding time is 600 min, and the sintering effect of ceramic parts is better. The measured shrinkage rate of the ceramic sample does not exceed 16%, the porosity is 47%, the bulk density is 2.27 g/cm3, and the density is 53.2%. The results show that the ceramic parts prepared by this process can meet the basic performance requirements.