Deep parameter optimisation for face detection using the Viola-Jones algorithm in OpenCV

Bruce, B.R., Aitken, J.M. orcid.org/0000-0003-4204-4020 and Petke, J. (2016) Deep parameter optimisation for face detection using the Viola-Jones algorithm in OpenCV. In: Sarro, F and Deb, K, (eds.) Search Based Software Engineering. SSBSE 2016. SSBSE 2016: International Symposium on Search Based Software Engineering, 08-10 Oct 2016, Raleigh, NC, USA. Lecture Notes in Computer Science (9962). Springer International Publishing , pp. 238-243. ISBN 9783319471051

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Copyright, Publisher and Additional Information: © Springer International Publishing AG 2016. This is an author-produced version of a paper subsequently published in SSBSE 2016 proceedings. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Deep parameter optimisation; Automated parameter tuning; Multi-objective optimisation; Genetic improvement; GI; SBSE; OpenCV; Viola-Jones Algorithm
Dates:
  • Published (online): 24 September 2016
  • Published: 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 15 Jul 2019 11:26
Last Modified: 16 Jul 2019 10:53
Status: Published
Publisher: Springer International Publishing
Series Name: Lecture Notes in Computer Science
Refereed: Yes
Identification Number: https://doi.org/10.1007/978-3-319-47106-8_18
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