- author = "A. Loizides and M. Slater and W. B. Langdon",
- title = "Measuring Facial Emotional Expressions Using Genetic Programming",
- booktitle = "Soft Computing and Industry Recent Applications",
- year = "2001",
- editor = "Rajkumar Roy and Mario K{\"o}ppen and Seppo Ovaska and Takeshi Furuhashi and Frank Hoffmann",
- pages = "545--554",
- month = "10--24 " # sep,
- publisher = "Springer-Verlag",
- note = "Published 2002",
- keywords = "genetic algorithms, genetic programming, data visualisation, symbolic regression",
- ISBN = "1-85233-539-4",
-
URL = "
http://www.cs.ucl.ac.uk/staff/a.loizides/wsc6.pdf",
-
URL = "
http://citeseer.ist.psu.edu/474911.html",
-
URL = "https://link.springer.com/book/10.1007/978-1-4471-0123-9",
-
URL = "http://www.amazon.co.uk/Soft-Computing-Industry-Recent-Applications/dp/1852335394",
- size = "5 pages",
- abstract = "Genetic Programming techniques can be used to produce regression equations that quantify emotional expressions on a facial model. The formulae give emotional scores based on the position of 25 automatically generated 'landmarks' on the face. The method shown here is an integrated part of a system that maps multidimensional data sets to naturalistic visual structures such as a face",
-
notes = "WSC6 March 2020 Hardcover out of print, available as
softcover.
",
