- author = "Stefano Cagnoni and Mengjie Zhang",
- title = "Evolutionary Computer Vision and Image Processing: some {FAQs}, Current Challenges and Future Perspectives",
- booktitle = "Proceedings of 2016 IEEE Congress on Evolutionary Computation (CEC 2016)",
- year = "2016",
- editor = "Yew-Soon Ong",
- pages = "1267--1271",
- address = "Vancouver",
- month = "24-29 " # jul,
- publisher = "IEEE Press",
- keywords = "genetic algorithms, genetic programming, Evolutionary Computer Vision, Evolutionary Image Processing, GPU",
- isbn13 = "978-1-5090-0623-6",
-
DOI = "
doi:10.1109/CEC.2016.7743933",
-
abstract = "Applications to image/signal processing and analysis
have been studied since the very early years in the
history of Evolutionary Computation up to a degree of
popularity which has allowed terms like Evolutionary
Computer Vision (ECV) and Evolutionary Image Processing
(EIP) to become common among researchers. Within these
fields, the role of EC has gone well beyond basic
optimization of the parameters of traditional Computer
Vision (CV) or Image Processing (IP) algorithms or mere
use within those algorithms which comprise an
optimization stage anyway.
This paper, far from having the pretence of making an exhaustive review, tries to sketch the motivations behind the success of ECV/EIP, the present status of research in such a field, and a personal view of its possible developments in the near future, based on the authors' more than 20-year long direct experience.",
- notes = "WCCI2016",
