Facial Expression Recognition Using Texture Description of Displacement Image

Journal Title: Journal of Information Systems and Telecommunication - Year 2014, Vol 2, Issue 4

Abstract

In recent years, facial expression recognition, as an interesting problem in computer vision has been performed by means of static and dynamic methods. Dynamic information plays an important role in recognizing facial expression. However, using the entire dynamic information in the expression image sequences is of higher computational cost compared to the static methods. To reduce the computational cost, instead of entire image sequence, only neutral and emotional faces can be employed. In the previous research, this idea was used by means of DLBPHS method in which facial important small displacements were vanished by subtracting LBP features of neutral and emotional face images. In this paper, a novel approach is proposed to utilize two face images. In the proposed method, the face component displacements are highlighted by subtracting neutral image from emotional image; then, LBP features are extracted from the difference image. The proposed method is evaluated on standard databases and the results show a significant accuracy improvement compared to DLBPHS.

Authors and Affiliations

Hamid Sadeghi, Abolghasem-Asadollah Raie, Mohammad-Reza Mohammadi

Keywords

Related Articles

PSO-Algorithm-Assisted Multiuser Detection for Multiuser and Inter-symbol Interference Suppression in CDMA Communications

Applying particle swarm optimization (PSO) algorithm has become a widespread heuristic technique in many fields of engineering. In this paper, we apply PSO algorithm in additive white Gaussian noise (AWGN) and multipath...

Data Aggregation Tree Structure in Wireless Sensor Networks Using Cuckoo Optimization Algorithm

Wireless sensor networks (WSNs) consist of numerous tiny sensors which can be regarded as a robust tool for collecting and aggregating data in different data environments. The energy of these small sensors is supplied by...

Automatic Construction of Domain Ontology Using Wikipedia and Enhancing it by Google Search Engine

The foundation of the Semantic Web are ontologies. Ontologies play the main role in the exchange of information and development of the Lexical Web to the Semantic Web. Manual construction of ontologies is time-consuming,...

Efficient Land-cover Segmentation Using Meta Fusion

Most popular fusion methods have their own limitations; e.g. OWA (order weighted averaging) has “linear model” and “summation of inputs proportions in fusion equal to 1” limitations. Considering all possible models for f...

An Improved Method for TOA Estimation in TH-UWB System considering Multipath Effects and Interference

UWB ranging is usually based on the time-of-arrival (TOA) estimation of the first path. There are two major challenges in TOA estimation. One challenge is to deal with multipath channel, especially in indoor environments...

Download PDF file
  • EP ID EP185870
  • DOI 10.7508/jist.2014.04.002
  • Views 124
  • Downloads 0

How To Cite

Hamid Sadeghi, Abolghasem-Asadollah Raie, Mohammad-Reza Mohammadi (2014). Facial Expression Recognition Using Texture Description of Displacement Image. Journal of Information Systems and Telecommunication, 2(4), 205-212. https://europub.co.uk/articles/-A-185870