My Account | Careers | Downloads | Blog

PROJECT TITLE :

Facial expression recognition based on geometric and optical flow features in colour image sequences

ABSTRACT:

Facial expression recognition is a useful feature in modern human computer interaction (HCI). In order to build efficient and reliable recognition systems, face detection, feature extraction and classification have to be robustly realised. Addressing the latter two issues, this work proposes a new method based on geometric and transient optical flow features and illustrates their comparison and integration for facial expression recognition. In the authors?? method, photogrammetric techniques are used to extract three-dimensional (3-D) features from every image frame, which is regarded as a geometric feature vector. Additionally, optical flow-based motion detection is carried out between consecutive images, what leads to the transient features. Artificial neural network and support vector machine classification results demonstrate the high performance of the proposed method. In particular, through the use of 3-D normalisation and colour information, the proposed method achieves an advanced feature representation for the accurate and robust classification of facial expressions.


Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Private Facial Prediagnosis as an Edge Service for Parkinson's DBS Treatment Valuation ABSTRACT: Facial phenotyping for the purpose of medical prediagnosis has recently been successfully exploited as a novel way
PROJECT TITLE : A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis ABSTRACT: Incorporating spatial and temporal patterns present in facial behavior should substantially improve facial
PROJECT TITLE : Attended End-to-end Architecture for Age Estimation from Facial Expression Videos ABSTRACT: The most difficult aspects of estimating age from facial expression films are modeling the static face appearance as
PROJECT TITLE : Reliable Crowdsourcing and Deep Locality-Preserving Learning for Unconstrained Facial Expression Recognition ABSTRACT: Although face expression is fundamental to human experience, most previous databases and studies
PROJECT TITLE : Occlusion Aware Facial Expression Recognition Using CNN With Attention Mechanism ABSTRACT: It is difficult to recognise facial expressions in the outdoors because of a variety of unrestricted circumstances. Existing

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry