Author/Authors
eleyan, alaa avrasya university - engineering architecture faculty - electrical electronics engineering department, Trabzon, Turkey , ashir, abubakar m. selcuk university - engineering faculty - electrical electronics engineering department, Konya, TURKEY
Title Of Article
Facial expression recognition based on compressive sensing and pyramid processing
شماره ركورد
40947
Abstract
In this paper, a new approach has been proposed for improved facial expression recognition. The new approach is inspired by the compressive sensing theory and multi-resolution approach to facial expression problems. Initially, each image sample is decomposed into desired levels of its pyramids at different sizes and resolutions. At each level of the pyramid, features are extracted using a measurement matrix based on compressive sensing theory. These measurements are concatenated together to form a feature vector for the original image. The results obtained from the approach using three distance measurement classifiers (Manhattan, Euclidean, Cosine) and support vector machine are impressive and outperforms most of its counterpart algorithms in the literature using the same databases and settings.
From Page
527
NaturalLanguageKeyword
Facial Expression recognition , Compressive sensing , Image pyramid
JournalTitle
Pamukkale University Journal Of Engineering Sciences
To Page
531
JournalTitle
Pamukkale University Journal Of Engineering Sciences
Link To Document