| Summary: | The traditional method of making portrait sculptures is hand-carving. The quality of sculpture is unstable, which mainly depends on the technical level of the sculptor. With the development of multi-coordinate numerical control processing technology and computer three-dimensional modeling technology, a new method of designing and making portrait sculptures has emerged. In order to improve the quality of sculpture and overcome the shortcomings of the existing scheme, a new optimization method for portrait sculpture data is proposed by combining mobile edge computing and 3D images. The paper first analyzes the existing portrait data collection methods based on 3D scanning and image reconstruction, and draws out the blind spots in the application of the existing data collection methods to the collection of portrait sculpture data. A method for data collection of portrait sculpture based on feature description is proposed. After determining the data optimization method, a portrait sculpture data optimization architecture is constructed through mobile edge computing technology. In order to verify the applicability of the method, the multi-angle and multi-dimensional simulation training test results show the efficiency and scalability of the realized sculpture data optimization method.
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