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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...
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...
This paper presents a novel method to conduct camera pose estimation though combining Kinect and Perspective-n-points algorithms. Most existing camera pose estimation methods suffer from the errors caused by inevitable outliers between 2D–3D correspondences. To this end, we propose to use a random down sampling process to deal with outliers in this paper. The proposed method is divided into two main...
Facial pose estimation is an important part for facial analysis such as face and facial expression recognition. In most existing methods, facial features are essential for facial pose estimation. However, occluded key features and uncontrolled illumination of face images make the facial feature detection vulnerable. In this paper, we propose methods for facial pose estimation via dense reconstruction...
Motion blur is usually generated when people captured a picture in the daily life. This kind of blur is often non-liner motion and may cause the blurred contents seriously in this image. Hence, how to remove the blurred image into a clear image becomes a very important scheme. In this paper, the primary aim is to propose an efficient blurred image restoration method based on fast blur-kernel estimation,...
The distributed multiple input multiple output (MIMO) radar has the potential to achieve high resolution. But when the target is moving, the imaging result will be blurred if we don't consider the effect of the motion. To solve this problem, the velocity of the target will be estimated along with target recovery in a loop iteration process. Furthermore, by utilizing the sparsity of the scatterers,...
In this paper, we propose a simple and efficient motion deblurring method based on fast kernel retrieval method, which can quickly find the best kernel from a set of kernels. Owing to camera shake during exposure, it may generate a motion blurred image; this kind of blur is often nonlinear motion and caused the deterioration. For this reason, reconstructing a blurred image into a sharp image is the...
In this paper, we propose a kernel estimation algorithm using fast best kernel retrieval (FBKR) from spectral irregularities to achieve the deblurring. In daily life, when people take a photograph by any kinds of camera equipment, image motion blur caused by camera motion often happens. Camera motion during exposure will produce a blurred image, this kind of blur is often non-liner mode. Motion blur...
For a more effective understanding of dynamic of mechanism and cluster of local crime, this study uses kernel density to reveal abilities of detecting space-time hotspots in the context of time geography. Since spatial data are correlated in nature, geographically weighted regression (GWR) has been proven as an effective tool to address the spatial non-stationarity. Thus, this study adopts temporal...
This paper treats the globally exponentially attractive set and synchronization problem of a new Lorenz-like chaotic systems. Firstly, based on the definition of globally exponentially attractive set and Lyapunov stability theory, by constructing a family of generalized positive definite Lyapunov functions with radially unbound respect with to the parameters of the system, a new estimation of the...
This paper proposes a Cross Spectral-Total Least Square (CS-TLS) method to measure the frequencies of the weak signal in colored noise, which clears the fake peaks caused by spectral estimation and overcomes efficiently. These false peaks are caused by the extended-order of the characteristic equation. Thus false peaks are hard to distinguish from the harmonic signal peaks in power spectrum curves...
This paper proposes a new method to combine the state space model with cross higher order cumulant, and then apply it to multi-chirp parameter estimation. Firstly, through a quadratic form transform the nonstationary chirp signals are converted into stationary state. Then the full advantages of state space model and cross higher order cumulant are used to do the following processing. This method presents...
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