As an important carrier of human cultural heritage, mural art contains rich visual symbols and national cultural connotations, which provides artistic reference for modern brand design. This paper takes mural art as the research object, and selects SIFT, a local feature description operator with good uniqueness of invariance, as the extraction algorithm of mural art features. The SC-SIFT descriptor is proposed by adding global features representing the shape space in the SIFT descriptor to enrich the acquisition information of feature description. After completing the optimization of the SIFT descriptor algorithm, the feature point pairs of the digital images of mural art are extracted using the SIFT algorithm, and the mural art feature extraction model based on SC-SIFT is constructed. On the basis of the acquired fresco feature data, the feature extraction as well as the analysis method of fresco art style is discussed. At the same time, combined with the characteristics of fresco art, the re-creation ideas and methods of fresco art symbols in contemporary brand design are elaborated. With the assistance of the SC-SIFT-based mural art feature extraction model and the re-creation thinking, the products designed by Brand K with mural art elements obtain a high average score of 7.36 in the cultural context dimension. This shows that the feature extraction model and re-creation method proposed in this paper can actively promote the re-creation and application of fresco art elements in brand design.
