Human’s Facial Parts Extraction to Recognize Facial Expression
نویسنده
چکیده
Real-time facial expression analysis is an important yet challenging task in human computer interaction. This paper proposes a real-time person independent facial expression recognition system using a geometrical feature-based approach. The face geometry is extracted using the modified active shape model. Each part of the face geometry is effectively represented by the Census Transformation (CT) based feature histogram. The facial expression is classified by the SVM classifier with exponential chi-square weighted merging kernel. The proposed method was evaluated on the JAFFE database and in real-world environment. The experimental results show that the approach yields a high recognition rate and is applicable in real-time facial expression analysis.
منابع مشابه
Improving LNMF Performance of Facial Expression Recognition via Significant Parts Extraction using Shapley Value
Nonnegative Matrix Factorization (NMF) algorithms have been utilized in a wide range of real applications. NMF is done by several researchers to its part based representation property especially in the facial expression recognition problem. It decomposes a face image into its essential parts (e.g. nose, lips, etc.) but in all previous attempts, it is neglected that all features achieved by NMF ...
متن کاملDetection and Recognition of Facial Emotion using Bezier Curves
Extracting and understanding of emotion is of high importance for the interaction among human and machine communication systems. The most expressive way to display the human’s emotion is through facial expression analysis. This paper presents and implements an automatic extraction and recognition method of facial expression and emotion from still image. There are two steps to recognize the faci...
متن کاملHuman-like Robot Head that has Olfactory Sensation and Facial Color Expression
The authors have been developing human-like head robots in order to develop new head mechanisms and functions for a humanoid robot that has the ability to communicate naturally with a human by expressing human-like emotion. We were able to four sensations (the visual, auditory, cutaneous and olfactory sensations) of a human’s five senses by developing WE-3RIV (Waseda Eye No.3 Refined IV). In th...
متن کاملAnthropometric Analysis of Face using Local Gaussian Distribution Fitting Applicable for Facial Surgery
Human facial plays a very important role in the human’s appearance. Many defects in the face affect the facial appearance, significantly. Facial plastic surgeries can correct the defects on the face. Analysis of facial color images is very important due to its numerous applications in facial surgeries. Different types of facial surgeries, such as Rhinoplasty, Otoplasty, Belpharoplasty and chin ...
متن کاملA Novel Automatic Facial Expression Recognition Method Based on AAM
This paper proposes a novel method to recognize facial expression through Active Appearance Model (AAM) to extract facial regions based on Facial Action Coding System (FACS). It is composed of three parts: extraction of facial regions based on AAM, extraction of facial features by Gabor wavelet transformation, and expression recognition through Support Vector Machines (SVMs). AAM has better per...
متن کامل