A Novel Dynamic Model Capturing Spatial and Temporal Patterns for Facial Expression Analysis


Incorporating spatial and temporal patterns present in facial behavior should substantially improve facial expression analysis, however the patterns have not yet been fully employed. We address this problem by developing an interval temporal restricted Boltzmann machine (IT-RBM), a unique dynamic model capable of capturing both universal spatial patterns and complex temporal patterns in face behavior for facial expression interpretation.

A facial expression is thought to be a multifaceted activity made up of consecutive or overlapping primitive facial actions. A two-layer Bayesian network is used to represent these complex temporal patterns using Allen's interval algebra. The primitive face events are represented by the nodes in the upper layer, while the temporal links between those events are depicted by the nodes in the lower layer. A multi-value constrained Boltzmann machine, in which the visible nodes are facial events and the connections between hidden and visible nodes mimic intrinsic spatial patterns, also captures inherent universal spatial patterns in our model.

The authors present efficient learning and inference techniques. Experiments on posed and spontaneous expression differentiation and recognition show that our proposed IT-RBM outperforms current research by including these facial behavior patterns.

Did you like this research project?

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

PROJECT TITLE : Development and Assessment of a New Global Mammographic Image Feature Analysis Scheme to Predict Likelihood of Malignant Cases ABSTRACT: Researchers in this project hope to create and test a new computer-aided
PROJECT TITLE : A New Multi-Atlas Registration Framework for Multimodal Pathological Images Using Conventional Monomodal Normal Atlases ABSTRACT: For tasks like ROI segmentation, anatomical landmark recognition, and so on, information
PROJECT TITLE : A Novel Scheme Based on the Diffusion to Edge Detection ABSTRACT: This paper presents a new method for detecting edges based on the physical rule of diffusion. Data-based approaches, such as deep neural networks,
PROJECT TITLE : FastDeRain A Novel Video Rain Streak Removal Method Using Directional Gradient Priors ABSTRACT: The elimination of rain streaks from outdoor vision systems is an important problem that has lately been studied extensively.
PROJECT TITLE : Novel Supervisory Control Method for Islanded Droop-Based ACDC Microgrids ABSTRACT: With a large percentage of renewable energy sources (RES) in the system, this research proposes a unique supervisory control

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

Project Enquiry