Search
Abstract
This paper describes the research aimed at finding the optimal configuration of the face recognition algorithm based on local texture descriptors (binary and ternary patterns). Since the identification module was supposed to be a part of the face tracking system developed for interactive wearable computer, proper feature selection, allowing for real-time operation, became particularly important. Our experiments showed that it is unfeasible to reduce the computational complexity of the process by choosing discriminant regions of interest on the basis of the training set. The application of simulated annealing, however, to the selection of the most discriminant LTP codes provided satisfactory results.
Citations
-
4
CrossRef
-
0
Web of Science
-
5
Scopus
Authors (2)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Published in:
-
Advances in Intelligent Systems and Computing
no. 403,
pages 359 - 368,
ISSN: 2194-5357 - Title of issue:
- Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015 strony 359 - 368
- Language:
- English
- Publication year:
- 2015
- Bibliographic description:
- Smiatacz M., Rumiński J.: Local Texture Pattern Selection for Efficient Face Recognition and Tracking// Proceedings of the 9th International Conference on Computer Recognition Systems CORES 2015/ ed. Robert Burduk, Konrad Jackowski, Marek Kurzynski, Michal Wozniak, Andrzej Zolnierek : Springer International Publishing, 2015, s.359-368
- DOI:
- Digital Object Identifier (open in new tab) 10.1007/978-3-319-26227-7_34
- Verified by:
- Gdańsk University of Technology
seen 130 times