A fully-automatic, temporal approach to single camera, glint-free 3D eye model fitting
نویسندگان
چکیده
We present a 3D eye model fitting algorithm for use in gaze estimation, that operates on pupil ellipse geometry alone. It works with no user-calibration and does not require calibrated lighting features such as glints. Our algorithm is based on fitting a consistent pupil motion model to a set of eye images. We describe a non-iterative method of initialising this model from detected pupil ellipses, and two methods of iteratively optimising the parameters of the model to best fit the original eye images. We also present a novel eye image dataset, based on a rendered simulation, which gives a perfect ground truth for gaze and pupil shape. We evaluate our approach using this dataset, measuring both the angular gaze error (in degrees) and the pupil reprojection error (in pixels), and discuss the limitations of a user-calibration–free approach.
منابع مشابه
Camera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy
In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity surfaces provides an efficient way to estimate the depth estimation uncertainty which ...
متن کاملA Precise Eye-Gaze Detection and Tracking System
This paper describes a real-time contact-free eye-gaze tracking system that bases its accuracy in a very precise estimation of the pupil centre. The eye camera follows the head movements maintaining the pupil centred in the image. When a tracking error is produced, the image from a camera with a wider field of view is used to locate the eye and quickly recover the tracking process. Four infrare...
متن کاملOn the Multi-View Fitting and Construction of Dense Deformable Face Models
Active Appearance Models (AAMs) are generative, parametric models that have been successfully used in the past to model deformable objects such as human faces. Fitting an AAM to an image consists of minimizing the error between the input image and the closest model instance; i.e. solving a nonlinear optimization problem. In this thesis we study three important topics related to deformable face ...
متن کاملA Vision Based Top-View Transformation Model for a Vehicle Parking Assistant
This paper proposes the Top-View Transformation Model for image coordinate transformation, which involves transforming a perspective projection image into its corresponding bird's eye vision. A fitting parameters searching algorithm estimates the parameters that are used to transform the coordinates from the source image. Using this approach, it is not necessary to provide any interior and exte...
متن کاملA Study on the Sensitivity of Illumination Source in the Geometerical Eye-Gaze Model
Enhancement of computing ability of the smart phones the new use of the said device focus on the eye gaze estimation. The geometrical eye gaze estimation method measure the relation between camera, user’s eye and smart device. The illumination source on smart device generate glint on capture pupil image of the user’s eye. From the relation of glint and pupil center the eye gaze position is capt...
متن کامل