Pupil detection and tracking for analysis of fixational eye micromovements

Roig, Ana B.; Morales, M. M.; Espinosa, Julián; Pérez, Jorge; Mas, David; Illueca, Carlos

doi:10.1016/j.ijleo.2010.10.049

Cited by 24 publications

(15 citation statements)

References 16 publications

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“…The use of contour based methods guarantees that the target can be tracked with independence of the illumination. Other found applications deal with detection of fast ocular movements [2]. In that case, the eye-pupil can be considered planar and its movement is restricted.…”

Section: Discussionmentioning

confidence: 99%

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Three-dimensional planar object tracking with sub-pixel accuracy

Roig

Espinosa

Pérez

et al. 2015

Optik

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Subpixel techniques are commonly used to increase the spatial resolution in tracking tasks.Object tracking with targets of known shape permits obtaining information about object position and orientation in the three-dimensional space. A proper selection of the target shape allows us to determine its position inside a plane and its angular and azimuthal orientation under certain limits. Our proposal is demonstrated both numerical and experimentally and provides an increase the accuracy of more than one order of magnitude compared to the nominal resolution of the sensor. The experiment has been performed with a high-speed camera, which simultaneously provides high spatial and temporal resolution, so it may be interesting for some applications where this kind of targets can be attached, such as vibration monitoring and structural analysis.

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Section: Discussionmentioning

confidence: 99%

“…Although the imposed restrictions limit the applicability of the method, there still is a wide range of situations where it can be used. In our case, we are interested in fields as different as structural vibrations [11] or eye tracking [2], where the object movement is clearly restricted.…”

mentioning

confidence: 99%

Three-dimensional planar object tracking with sub-pixel accuracy

Roig

Espinosa

Pérez

et al. 2015

Optik

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“…The Canny Algorithm [12] [13] able to detect pupil contour and edge at 10% error rate. Pupil contour is detected by Morphology algorithm [14] where the error rate is 10% on left pupil and 6% of right pupil. The Support Vector Machine(SVM) [15] is able to detect the coordinate of the area in eyes with approximately 1.73% error rate.…”

Section: Literature Reviewmentioning

confidence: 99%

Measurement of Unique Pupillary Distance using Modified Circle Algorithm

Saif¹,

Hossain²,

Hasan³

et al. 2018

IJCA

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This research investigated several equations and calculated the pupillary distance using pupils center coordinate. The prior research has provided two conceptual frameworks which may give a unique distance to all human. As Pupillary distance provides a core and unique information as like bio-metric for every human. The researcher did not explore the equation or pattern yet. This research proposed a framework called as Pixellary Pupil Distance and analyze the result. This research use pixel to calculate the pupillary distance where subtracts left pupil pixel with the right pupil and sum up with its distance pixel. Finally, the research sum all the pixel subtraction and its distance what this research called pupillary distance. This research builds and describes a custom dataset for test purpose because the pupil is the core element of eyes and this research did not find any precise dataset of it. The result shows the unicity of pupillary distance. This research also shows the computational time, false alarming rate, noise reduction which is described the performance of the purposed framework.

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“…After thresholding, morphological closing removed extraneous dark regions (e.g. shadows, eyelashes) that may distort the pupil boundary [20] (Fig. 4(C)).…”

Section: Pupil Trackingmentioning

confidence: 99%

“…Pupil tracking is a low-cost video-oculography technique for monitoring subject eye motion [20,21]. When coupled to a retinal imaging system [22], pupil tracking offers direct visualization of the subject's pupil plane.…”

Section: Introductionmentioning

confidence: 99%

Pupil tracking optical coherence tomography for precise control of pupil entry position

Carrasco-Zevallos

Nankivil

Keller

et al. 2015

Biomed. Opt. Express

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Abstract:To maximize the collection efficiency of back-scattered light, and to minimize aberrations and vignetting, the lateral position of the scan pivot of an optical coherence tomography (OCT) retinal scanner should be imaged to the center of the ocular pupil. Additionally, several retinal structures including Henle's Fiber Layer (HFL) exhibit reflectivities that depend on illumination angle, which can be controlled by varying the pupil entry position of the OCT beam. In this work, we describe an automated method for controlling the lateral pupil entry position in retinal OCT by utilizing pupil tracking in conjunction with a 2D fast steering mirror placed conjugate to the retinal plane. We demonstrate that pupil tracking prevents lateral motion artifacts from impeding desired pupil entry locations, and enables precise pupil entry positioning and therefore control of the illumination angle of incidence at the retinal plane. We use our prototype pupil tracking OCT system to directly visualize the obliquely oriented HFL.

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Pupil detection and tracking for analysis of fixational eye micromovements

Cited by 24 publications

References 16 publications

Three-dimensional planar object tracking with sub-pixel accuracy

Three-dimensional planar object tracking with sub-pixel accuracy

Measurement of Unique Pupillary Distance using Modified Circle Algorithm

Pupil tracking optical coherence tomography for precise control of pupil entry position

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