Abstract
This paper presents the problem of lip segmentation in parallel environment using computational capabilities of GPUs and CUDA. The presented implementation of lip segmentation is based on image processing methods using the most popular transformations such as morphological operations and convolution filters. The obtained experimental results for the parallel implementation on GPU indicate significant speedup in comparison to its sequential counterpart. Consequently, the use of popular graphics cards provides a very promising possibility of quick lips segmentation. © 2012 Springer-Verlag.
Author supplied keywords
Cite
CITATION STYLE
Adrjanowicz, L., Kubanek, M., & Tomas, A. (2012). GPU accelerated image processing for lip segmentation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7203 LNCS, pp. 357–365). https://doi.org/10.1007/978-3-642-31464-3_36
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
