This paper proposes a model-based gaze-estimation algorithm using a low-resolution 3D TOF camera. This study uses infrared images instead of RGB images as input to overcome the impact of varying illumination intensity in the environment on gaze estimation. We utilized a trained YOLOv8 neural ...
In this paper, we present a model-based approach for gaze direction estimation in office environment. An overlapped elliptical model is used in detection of head, and Bayesian network model is used in estimation of gaze direction. The head consists of two regions which are face and hair region...
Experimental results on a prototype infrared smartphone show that for an R-Roll angle of 90 掳 , the new method achieves accuracy of approximately 1 掳 , while a gaze estimation method that assumes that the R-Roll angle remains constant achieves an accuracy of 3.5 掳 . The manner in which...
Summary: One of the most crucial techniques associated with computer vision is technology that deals with the automatic estimation of gaze orientation. In this paper, a method is proposed to estimate horizontal gaze orientation from a monocular camera image using parameters of an Active Appearance Mo...
{\bf y}), a light-weight joint model that integrates human gaze fixation estimation into transformer models to predict document relevance, incorporating more nuanced information about cognitive processing into information retrieval (IR). We evaluate our model on the Text Retrieval Conference (TREC) ...
gaze calibration was conducted with the participants. We removed the blink-artefacts from the pupil data with the blink detection algorithm from Smart eye pro. All pupil data which had an edge detection accuracy less than 97 percent were deleted from the dataset. Other non-physiological artefacts ...
Model-based diagnosis refers to reasoning from first principles that declaratively describe a system's structural and behavioral properties. In recent years, model-based diagnosis has proven successful in such areas as software design and fault localization in hardware. However, although the basic princ...
The main benefit is the low average image resolution while maintaining high resolution at the center of the gaze. When the end user is a human observer, it is advantageous for the foveation process to closely match the visual system parameters. This work directly applies a multichannel model ...
Section 2 describes the methodology used to (i) compute the hydrodynamic leveling data, (ii) define the set of connections added to the adjust- ment, (iii) conduct the adjustment and variance component estimation, and iv) assess the impact. Section 3 introduces the data sets used in this ...
Regardless of the method, gaze estimation becomes difficult when the eye image contains reflection noise, as noise can affect the extraction of reflection spots or eye features. 2.2. Segment anything model (SAM) Semantic segmentation is a key task in the field of computer vision, aimed at ...