Empirical Evaluation of SVM for Facial Expression Recognition
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2018, Vol 9, Issue 11
Abstract
Support Vector Machines (SVMs) have shown bet-ter generalization and classification capabilities in different appli-cations of computer vision; SVM classifies underlying data by a hyperplane that can separate the two classes by maintaining the maximum margin between the support vectors of the respective classes. An empirical analysis of SVMs on the facial expression recognition task is reported with high intra and low inter class variations by conducting an extensive set of experiments on a large-scale Fer 2013 dataset. Three different kernel functions of SVM are used; linear kernel, quadratic kernel and cubic kernel, whereas, Histogram of Oriented Gradient (HoG) is used as a feature descriptor. Cubic Kernel achieves highest accuracy on Fer 2013 dataset using HoG.
Authors and Affiliations
Saeeda Saeed, Junaid Baber, Maheen Bakhtyar, Ihsan Ullah, Naveed Sheikh, Imam Dad, Anwar Ali Sanjrani
Keywords
Related Articles
- EP ID EP417776
- DOI 10.14569/IJACSA.2018.091195
- Views 80
- Downloads 0
Applications of Data Envelopment Analysis in Development and Assessment of Sustainability Across Economic, Environmental and Social Dimensions
Recently, senior managers are paying much more attention to the environmental aspects of decision-making units. Technically, global economy is inextricably connected to the environment, as it is heavily dependent on extr...
An Extension of the Bisection Theorem to Symmetrical Circuits with Cross-Coupling
This paper demonstrates that the bisection theorem can be applied to the differential and common-mode analysis of balanced symmetrical circuits with cross coupling. This class of circuits is often found in the literature...
PSO Algorithm based Adaptive Median Filter for Noise Removal in Image Processing Application
A adaptive Switching median filter for salt and pepper noise removal based on genetic algorithm is presented. Proposed filter consist of two stages, a noise detector stage and a noise filtering stage. Particle swarm opti...
Wavelet Based Image Retrieval Method
A novel method for retrieving image based on color and texture extraction is proposed for improving the accuracy. In this research, we develop a novel image retrieval method based on wavelet transformation to extract the...
Balancing a Sphere in a Linear Oscillatory Movement through Fuzzy Control
The following paper describes an intelligent control problem, which depends on the balance of a metallic sphere on a beam, that oscillates in only one point, localized in the middle of the beam, using it for the ba...