Laura Sesma - Academia.edu (original) (raw)

Papers by Laura Sesma

Scientometrics, Aug 31, 2013

Proceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications, 2018

We propose a binocular model-based method that only uses a single camera and an infrared light so... more We propose a binocular model-based method that only uses a single camera and an infrared light source. Most gaze estimation approaches are based on single eye models and with binocular models they are addressed by averaging the results from each eye. In this work, we propose a geometric model of both eyes for gaze estimation. The proposed model is implemented and evaluated in a simulated environment and is compared to a binocular model-based method and polynomial regression-based method with one camera and two infrared lights that average the results from both eyes. The method performs on par with methods using multiple light sources while maintaining robustness to head movements. The study shows that when using both eyes in gaze estimation models it is possible to reduce the hardware requirements while maintaining robustness.

Ingeniería de TelecomunicaciónTelekomunikazio Ingeniaritz

Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research & Applications, 2016

Proceedings of the 10th IEEE International Conference on Information Technology and Applications in Biomedicine, 2010

ABSTRACT

2011 Irish Machine Vision and Image Processing Conference, 2011

Abstract—Low cost iris tracking is one of the most challenging research topics for the eye-tracki... more Abstract—Low cost iris tracking is one of the most challenging research topics for the eye-tracking community. To this end, accurate detection of the iris centre in images captured by a web cam is a major goal. We propose a novel method for iris detection that is based on ...

Proceedings of the Symposium on Eye Tracking Research and Applications, 2012

Low cost eye tracking is an actual challenging research topic for the eye tracking community. Gaz... more Low cost eye tracking is an actual challenging research topic for the eye tracking community. Gaze tracking based on a web cam and without infrared light is a searched goal to broaden the applications of eye tracking systems. Web cam based eye tracking results in new challenges to solve such as a wider field of view and a lower image

Proceedings of the Symposium on Eye Tracking Research and Applications, 2014

ABSTRACT One of the goals of the eye tracking community is to build systems that allow users to m... more ABSTRACT One of the goals of the eye tracking community is to build systems that allow users to move freely. In general, there is a trade-off between the field of view of an eye tracking system and the gaze estimation accuracy. We aim to study how much the field of view of an eye tracking system can be increased, while maintaining acceptable accuracy. In this paper, we investigate all the issues concerning remote eye tracking systems with large range of movement in a simulated environment and we give some guidelines that can facilitate the process of designing an eye tracker. Given a desired range of movement and a working distance, we can calculate the camera focal length and sensor size or given a certain camera, we can determine the user's range of movement. The robustness against large head movement of two gaze estimation methods based on infrared light is analyzed: an interpolation and a geometrical method. We relate the accuracy of the gaze estimation methods with the image resolution around the eye area for a certain feature detector's accuracy and provide possible combinations of pixel size and focal length for different gaze estimation accuracies. Finally, we give the gaze estimation accuracy as a function of a new defined eye error, which is independent of any design parameters.

IEEE Transactions on Biomedical Engineering, 2012

Video oculography (VOG) is one of the most commonly used techniques for gaze tracking because it ... more Video oculography (VOG) is one of the most commonly used techniques for gaze tracking because it enables nonintrusive eye detection and tracking. Improving the eye tracking's accuracy and tolerance to user head movements is a common task in the field of gaze tracking; thus, a thorough study of how binocular information can improve a gaze tracking system's accuracy and tolerance to user head movements has been carried out. The analysis is focused on interpolation-based methods and systems with one and two infrared lights. New mapping features are proposed based on the commonly used pupil-glint vector using different distances as the normalization factor. For this study, an experimental procedure with six users based on a real VOG gaze tracking system was performed, and the results were contrasted with an eye simulator. Important conclusions have been obtained in terms of configuration, equation, and mapping features, such as the outperformance of the interglint distance as the normalization factor. Furthermore, the binocular gaze tracking system was found to have a similar or improved level of accuracy compared to that of the monocular gaze tracking system.

ACM Transactions on Multimedia Computing, Communications, and Applications, 2013

A multistage procedure to detect eye features is presented. Multiresolution and topographic class... more A multistage procedure to detect eye features is presented. Multiresolution and topographic classification are used to detect the iris center. The eye corner is calculated combining valley detection and eyelid curve extraction. The algorithm is tested in the BioID database and in a proprietary database containing more than 1200 images. The results show that the suggested algorithm is robust and accurate. Regarding the iris center our method obtains the best average behavior for the BioID database compared to other available algorithms. Additional contributions are that our algorithm functions in real time and does not require complex post processing stages.