Searching Eye Centers Using a Context-Based Neural Network

Location of human features, such as human eye centers, is much important for face image analysis and understanding. This paper proposes a context-based method for human eye centers search. A neural network learns the contexts between human eye centers and their environment in images. For some initial positions, the distances between them and the labeled eye centers in horizontal and vertical directions are learned and remembered respectively. Given a new initial position, the system will predict the eye centers' positions according to the contexts that the neural network learned. Two experiments on human eye centers search showed promising results.