The Application of Computer Augmented Reality Technology in Ancient Murals

TLDR: The use of Gaussian function, SURF algorithm, FREAK algorithm, RANSAC algorithm, and so on to improve the augmented reality technology system makes the presentation of ancient murals more detailed and realistic.

Abstract: In recent years, the country has given the green light to the development of augmented reality technology. Various preferential policies have sprung up such as mushrooms after rain, and augmented reality technology has gradually been applied to all aspects of our lives. In terms of cultural relic protection, the research and protection of ancient murals are undoubtedly not the most difficult. In terms of protection, murals are very fragile, and there are many factors that need to be paid attention to, such as air humidity, temperature, microorganisms, and the shedding of mud layers. In terms of research, the study of frescoes requires a lot of careful observation, but exhaled breath or body temperature that researchers get too close to can have unforeseen consequences. Based on this, the article expounds the composition of the augmented reality technology system. Through image recognition, three-dimensional tracking registration, virtual-real combination, and other technologies, the image obtained by the camera is recognized, and then the environment where the mural is located is a virtual scene through three-dimensional tracking technology. We build and finally use the combination of virtual and real technology to make the ancient murals vividly presented in front of us for our researchers to study more conveniently. The use of Gaussian function, SURF algorithm, FREAK algorithm, RANSAC algorithm, and so on to improve the augmented reality technology system makes the presentation of ancient murals more detailed and realistic. After experiments, we came to the conclusion that the ancient murals processed by augmented reality technology are far more detailed and more complete than the pictures taken by ordinary cameras. Processing ancient frescoes is also far less time-consuming than the existing image processors.