Computer vision algorithms and hardware implementations: A survey

Article Properties
  • Language
    English
  • Publication Date
    2019/11/01
  • Journal
  • Indian UGC (Journal)
  • Refrences
    150
  • Citations
    115
  • Xin Feng
  • Youni Jiang
  • Xuejiao Yang
  • Ming Du
  • Xin Li
Cite
Feng, Xin, et al. “Computer Vision Algorithms and Hardware Implementations: A Survey”. Integration, vol. 69, 2019, pp. 309-20, https://doi.org/10.1016/j.vlsi.2019.07.005.
Feng, X., Jiang, Y., Yang, X., Du, M., & Li, X. (2019). Computer vision algorithms and hardware implementations: A survey. Integration, 69, 309-320. https://doi.org/10.1016/j.vlsi.2019.07.005
Feng X, Jiang Y, Yang X, Du M, Li X. Computer vision algorithms and hardware implementations: A survey. Integration. 2019;69:309-20.
Journal Categories
Science
Mathematics
Instruments and machines
Electronic computers
Computer science
Technology
Electrical engineering
Electronics
Nuclear engineering
Electric apparatus and materials
Electric circuits
Electric networks
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Technology
Electrical engineering
Electronics
Nuclear engineering
Electronics
Computer engineering
Computer hardware
Refrences
Citations
Citations Analysis
The first research to cite this article was titled Contribution of Augmented Reality to Minimally Invasive Computer-Assisted Cranial Base Surgery and was published in 2019. The most recent citation comes from a 2024 study titled Contribution of Augmented Reality to Minimally Invasive Computer-Assisted Cranial Base Surgery . This article reached its peak citation in 2023 , with 34 citations.It has been cited in 81 different journals, 28% of which are open access. Among related journals, the IEEE Access cited this research the most, with 8 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year