Exploration of Three-Dimensional Design Optimization Methods for Industrial Product Structures Integrating Computer Vision and Traditional Cultural Art

In recent years, the integration of computer vision with culturally informed industrial design has emerged as a compelling direction for intelligent 3D modeling, particularly in scenarios requiring spatial adaptability and semantic coherence. Traditional three-dimensional design methodologies, often based on rule-driven CAD systems or purely geometric logic, fall short when faced with complex, context-rich environments. These approaches tend to overlook critical observational diversity and cultural nuance, resulting in models that struggle with generalization, multimodal integration, and structural fidelity in real-world design tasks. Addressing these limitations, this study presents a unified vision-driven framework for three-dimensional product structure optimization that effectively merges multimodal visual data with traditional aesthetic design principles. The proposed framework is composed of two tightly integrated components: the Cross-Modal Vision Aggregator (CMVA) and the Layout-Guided Iterative Refinement Mechanism (LGIRM). CMVA fuses high-density aerial imagery with sparse ground-level views using convolutional backbones, adaptive kernel interpolation, and multi-scale feature embedding to produce spatially aligned, semantically rich representations of target regions. Simultaneously, LGIRM ensures structural consistency and semantic flow by introducing layout-sensitive regularization and iterative refinement procedures during model training. Together, these modules facilitate a design process that is both responsive to real-world variability and capable of preserving cultural and structural integrity. Experimental validations demonstrate the framework’s superior performance in generating context-aware, geometrically coherent designs compared to conventional baselines. This work lays a foundation for advancing intelligent, vision-based design systems that bridge technical precision with cultural sensitivity in industrial applications.