The Use of Computer Vision Technology in the Inheritance of Intangible Cultural Heritage: The Case of Regional Cultural Characteristics

Abstract

Abstract The inheritance of intangible cultural heritage generally faces the situation of having no successors and difficulties in dissemination. The use of digital technology can overcome time and space limitations, expanding the dissemination effect of intangible heritage. A panoramic exhibition model of intangible cultural heritage is constructed using computer vision technology in this paper. In order to ensure that every pixel point in the image has a unique position, the perspective projection algorithm and the chi-square coordinate system are designed according to phase-forming geometry. Secondly, the optical information of each point is reproduced in the form of the image by using spherical projection, and the image alignment and image fusion smooth transition is carried out by improving the minimum deviation matching method of feature line segments based on chromatic aberration chunking. To convert the spherical panoramic image into a view that the user can explore, the inverse projection calculation is carried out. The performance of the model is tested after its construction is completed, and it is used to reproduce the panoramic view of the non-heritage contents of Xijiang Thousand Households Miaozhai in Guizhou. It is found that the matching error of this paper’s algorithm in the 20-frame scene test is close to or slightly higher than that of the SVD algorithm only in the 11th to 16th frame bits, and the rest of the frame errors are lower than that of the SVD algorithm by more than 0.04m. This paper’s algorithm is superior to OpenCV and Xiong methods by at least 0.1 points or more in all five scenes when testing the OG-IQA parameter. It can be concluded that the online exhibition content of non-heritage in Xijiang Miaozhai, Guizhou, produced using the model of this paper, has achieved a better communication effect and meets expectations. This paper provides innovative ideas and effective examples to demonstrate the use of computer vision technology in expanding the dissemination effect of intangible cultural heritage and promoting inheritance.