Innovations in Eco-Friendly Fashion Clothing Design Based on SIFT Algorithm and Biomimetic Materials

In this paper, the SIFT algorithm is firstly used to obtain the feature vector and scale space of biomimetic materials by adopting a hierarchical approach, and then the BBF algorithm searches for the Euclidean distance between each feature point, which is matched according to the similarity criterion. Finally, the affiliation function is used to guide the integration of biomimetic elements to realize the innovative design of environmentally friendly fashion clothing. The results show that the garments designed based on bionic materials have less than 50mg/L effluent discharge, and the passing rate of children’s clothing testing is over 80%. The sales volume can reach up to 1.45 million pieces per year. This paper integrates biomimetic materials and clothing design, that is, to meet the concept of environmental protection but also to meet the needs of the public aesthetic.