2018
DOI: 10.1016/j.cviu.2018.02.002
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PuRe: Robust pupil detection for real-time pervasive eye tracking

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Cited by 86 publications
(43 citation statements)
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“…The eye tracking data was recorded with the software EyeRecToo (Santini, Fuhl, Geisler, et al, 2017), and calibration was conducted as proposed in CalibMe . This eye tracking software offers several distinct methods for implementing functionality in the eyetracking pipeline: We configured it with PuRe for pupil detection (Santini, Fuhl, et al, 2018a); with PuReST for pupil tracking (Santini, Fuhl, et al, 2018b); and with Grip for gaze estimation (Santini et al, 2019). After visiting an acclimatization room and the three rooms included in our study (see Figure 1), each participant took part in the subjective mapping task (see Figure 2) and answered the questionnaire.…”
Section: Methodsmentioning
confidence: 99%
“…The eye tracking data was recorded with the software EyeRecToo (Santini, Fuhl, Geisler, et al, 2017), and calibration was conducted as proposed in CalibMe . This eye tracking software offers several distinct methods for implementing functionality in the eyetracking pipeline: We configured it with PuRe for pupil detection (Santini, Fuhl, et al, 2018a); with PuReST for pupil tracking (Santini, Fuhl, et al, 2018b); and with Grip for gaze estimation (Santini et al, 2019). After visiting an acclimatization room and the three rooms included in our study (see Figure 1), each participant took part in the subjective mapping task (see Figure 2) and answered the questionnaire.…”
Section: Methodsmentioning
confidence: 99%
“…Participants used the Vive controller in their preferred hand to respond to the TTC task. As per the recommendations of Santini et al (2018), only samples with a confidence rating > 0.66 were included in the analysis.…”
Section: Design Stimulus and Apparatusmentioning
confidence: 99%
“…Pupil detection algorithm based on least squares fitting of an ellipse is numerically stable, very fast, and precise. LSFE is the most commonly used principle in the pupil detection algorithms reported in the literature [39,45,47,48,49]. The eye pupil is approximated by an ellipse using a mathematical model of the ellipse, which determines the high stability of the cursor on the user screen.…”
Section: Resultsmentioning
confidence: 99%
“…One of the most recent and accurate pupil detection algorithm in pervasive scenarios, Pupil Reconstructor (PuRe) [48], is based on novel edge segment selection and conditional segment combination schemes. To improve the detection rate and running time for real-time pervasive eye tracking, a new version, Pupil Reconstructor with Subsequent Tracking (PuReST), has been proposed [49].…”
Section: Introductionmentioning
confidence: 99%