Abstract
In the realm of tourism product design, the integration of traditional arts and crafts with modern technological advancements presents a compelling opportunity for innovation. This study focuses on the utilization of ceramic materials as a cultural anchor for tourism product development. By proposing an optimized model based on improved Convolutional Neural Networks (CNN), the research explores the enhanced analysis and artistic expression capabilities of ceramic tourism products. The model's effectiveness is demonstrated through achieving over 95% accuracy in identifying and localizing ceramic product appearance features. Emphasizing the intersection of three-dimensional parametric technology and computer aesthetics, the study highlights advancements in digital modeling that elevate the design efficiency and cultural resonance of ceramic art within the tourism industry. This work contributes to advancing arts and crafts education and underscores the transformative impact of digital technologies on traditional craftsmanship and cultural heritage preservation.
Published Version
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