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In this paper, we address the 3D eye gaze estimation problem using a low-cost, simple-setup, and non-intrusive consumer depth sensor (Kinect sensor). We present an effective and accurate method based on 3D eye model to estimate the point of gaze of a subject with the tolerance of free head movement. To determine the parameters involved in the proposed eye model, we propose i) an improved convolution-based...
Face alignment is one of the most popular research areas in computer vision. It can be used in many fields, such as foundation of 3D-model of a face, face swap, face recognition. But most methods proposed were based on single images. In this paper, several strategies are proposed to enhance the performance of face alignment in videos. Through these strategies, three improvements have been achieved,...
This paper investigates gaze estimation solutions for interacting children with Autism Spectrum Disorders (ASD). Previous research shows that satisfactory accuracy of gaze estimation can be achieved in constrained settings. However, most of the existing methods can not deal with large head movement (LHM) that frequently happens when interacting with children with ASD scenarios. We propose a gaze estimation...
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