Eye pupil localization with an ensemble of randomized trees

被引：103

作者：

Markus, Nenad ^{[1
]}

Frljak, Miroslav ^{[1
]}

Pandzic, Igor S. ^{[1
]}

Ahlberg, Jorgen ^{[2
]}

Forchheimer, Robert ^{[2
]}

机构：

[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia

[2] Linkoping Univ, Dept Elect Engn, Informat Coding Grp, SE-58183 Linkoping, Sweden

来源：

PATTERN RECOGNITION | 2014年 / 47卷 / 02期

关键词：

Eye pupil localization; Boosting; Randomized trees; RECOGNITION; TRACKING;

D O I：

10.1016/j.patcog.2013.08.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

140502 [人工智能];

摘要：

We describe a method for eye pupil localization based on an ensemble of randomized regression trees and use several publicly available datasets for its quantitative and qualitative evaluation. The method compares well with reported state-of-the-art and runs in real-time on hardware with limited processing power, such as mobile devices. (C) 2013 Elsevier Ltd. All rights reserved.

引用

页码：578 / 587

页数：10

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