Results 191 to 200 of about 15,878 (207)
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An effective and rapid localization algorithm of pupil center based on Starburst model

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC), 2016
Starburst algorithm that combines feature-based and model-based approaches, can achieve a good tradeoff between run-time performance and accuracy for dark-pupil infrared illumination. On this basis, eye images are preprocessed using AdaBoost classifier to extract region of interest which contains pupil in this paper.
Zhiyi Qu
exaly   +2 more sources

Fast Pupil center localization system based on SSD Cascade gradient

2021 18th China International Forum on Solid State Lighting & 2021 7th International Forum on Wide Bandgap Semiconductors (SSLChina: IFWS), 2021
Yuandong Gu
exaly   +2 more sources

A Novel Technique for Pupil Center Localization Based on Projective Geometry

2011 7th Iranian Conference on Machine Vision and Image Processing, 2011
Mohammad Reza Mohammadi
exaly   +2 more sources

Pupil center localization in NIR based on machine learning

4th International Conference on Internet of Things and Smart City (IoTSC 2024)
Biao Zhu   +4 more
exaly   +2 more sources

Pupil Center Localization Based on Mini U-Net

2022
Göz takip algoritmalarında önemli bir yere sahip olan göz bebeği merkezinin yerini belirlemek için geçmişten günümüze birçok yöntem kullanılmıştır. Bu yöntemler genellikle şekil-özellik ve görünüm temellidir. Şekil-özellik tabanlı yöntemler, iris ve göz bebeğinin yerini belirlemek için morfolojik görüntü işleme tekniklerini, gözün değişmez geometrik ...
DONUK, Kenan, HANBAY, Davut
openaire   +2 more sources

Research on Pupil Center Localization Method Based on Fitting Elliptical Contours with Arc-support Line Segments

2024 6th Asia Symposium on Image Processing (ASIP)
Zhen Wang   +4 more
exaly   +2 more sources

Pupil Center Localization Using SOMA and CNN

2019
We present a new method for eye pupil detection in images. The algorithm runs in two steps. Firstly, a reasonable number of good candidates for pupil position are determined quickly by making use of the self-organizing migrating algorithm. Subsequently, the final position of pupil, among the preselected candidates, is determined precisely by making use
Radovan Fusek   +2 more
openaire   +1 more source

DeepPupil Net: Deep Residual Network for Precise Pupil Center Localization

Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2022
Nikolaos Poulopoulos   +1 more
openaire   +1 more source

Eye pupil localization with an ensemble of randomized trees

Pattern Recognition, 2014
Nenad Markus   +2 more
exaly  

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