As virtual reality technology advances, 3D environment design and modeling have garnered increasing attention. Applications in networked virtual environments span urban planning, industrial design, and manufacturing, among other fields. However, existing 3D modeling methods exhibit high reconstruction error precision, limiting their practicality in many domains, particularly environmental design. To enhance 3D reconstruction accuracy, this study proposes a digital image processing technology that combines binocular camera calibration, stereo correction, and a convolutional neural network (CNN) algorithm for optimization and improvement. By employing the refined stereo-matching algorithm, a 3D reconstruction model was developed to augment 3D environment design and reconstruction accuracy while optimizing the 3D reconstruction effect. An experiment using the ShapeNet dataset demonstrated that the evaluation indices—Chamfer distance (CD), Earth mover’s distance (EMD), and intersection over union—of the model constructed in this study outperformed those of alternative methods. After incorporating the CNN module in the ablation experiment, CD and EMD increased by an average of 0.1 and 0.06, respectively. This validates that the proposed CNN module effectively enhances point cloud reconstruction accuracy. Upon adding the CNN module, the CD index and EMD index in the dataset increased by an average of 0.34 and 0.54, respectively. These results indicate that the proposed CNN module exhibits strong predictive capabilities for point cloud coordinates. Furthermore, the model demonstrates good generalization performance.

Due to the change in the family model "421" and the constant aggravation of the degree of the aging society, increasing old people become empty nesters, and their mental and physical health problems have aroused the concern of all walks of life gradually. In order to ease this kind of social problem, increasing scholars and enterprises start researching the partner robots for the elderly. This paper mainly explores the differences and similarities among the partner robots for the elderly in the mainstream market in modelling and function design by analyzing the different kinds of partner robots for the elderly in the domestic and foreign mainstream markets, discusses the current main problems among the partner robots for the elderly and summarizes the suggestions on its future development direction.

Entering a new era, in response to the call of the country, the rural revitalization plan has begun to be fully implemented. The protection of traditional buildings in the contemporary development environment is the most important thing. The related literature has extensively studied traditional buildings, ranging from street corners to small decorative components. In the context of the prevalence of the computer Internet, traditional architectural decoration elements continue to provide future generations with information about the national history. On this basis, this article focuses on the decorative patterns of the traditional Guanzhong building group Dangjia Village, using literature research methods and field investigation methods to discuss the characteristics and meaning of architectural decoration. The multi-layered connotation of traditional Guanzhong architectural carvings promotes the cultural charm of the Guanzhong area. Intelligent connection with furniture, interior, architecture and environment, highlighting the intelligent combination of decorative pattern features and modern environment. And on this basis, it is applied to different design fields to promote the charm of oriental culture and establish national cultural confidence. Through the exploration of decorative pattern elements, meaning and connotation integrating tradition and contemporary development environment.Explore the significance of the artistic form and cultural connotation of traditional architecture to the development and innovation of modern design.