Affiliation:
1. School of Music and Dance , Zhengzhou University of Science and Technology , Zhengzhou , Henan , China .
Abstract
Abstract
Computer vision is used for monitoring and classification analysis in today’s society. The monitoring error rate of children’s picture books and the manual efficiency of classification are too slow, so it is difficult to find suitable books in a short time. Computer vision can help monitor and classify children’s picture books based on natural processing techniques. In this paper, the comparison between classical calculation and evolutionary calculation is used to prove that evolutionary calculation has a better accuracy, and the evolutionary calculation is further studied, finally reaching 97.8% accuracy in monitoring. This kind of evolutionary calculation should be vigorously developed in the future.
Reference12 articles.
1. Jarvis, R.A. (1983). A perspective on range finding techniques for computer vision. IEEE Transactions on Pattern Analysis and Machine Intelligence, 5(2), 122-139. DOI: [DOI Number]
2. Weinstein, B.G. (2018). A computer vision for animal ecology. Journal of Animal Ecology, 87(3), 533-545.
3. Guo, M.H., Xu, T.X., Liu, J.J., et al. (2022). Attention mechanisms in computer vision: A survey. Computational Visual Media, 8(3), 331-368.
4. Forsyth, D.A., & Ponce, J. (2002). Computer Vision: A Modern Approach. Prentice Hall Professional Technical Reference.
5. Baumgart, B.G. (1975). A polyhedron representation for computer vision. In Editor (Ed.), Book: A Polyhedron Representation for Computer Vision (1st ed., pp. 589-596).