Publication | Closed Access
Precise eye localization with improved SDM
19
Citations
19
References
2015
Year
Unknown Venue
EngineeringBiometricsLocalizationRobust FeatureImproved SdmFace DetectionFacial Recognition SystemImage AnalysisBasic Sdm AlgorithmPattern RecognitionImage RegistrationVision SensorPrecise Eye LocalizationVision RecognitionMachine VisionOphthalmologyVision ResearchComputer VisionVisual FunctionEye TrackingFace Alignment AreaMedicine
In this paper, we propose a precise and fast eye center localization method. The method is based on SDM [1] algorithm, which has achieved impressive performance in face alignment area. In this work, we further improve the basic SDM algorithm in two aspects: 1) employ the coarse to fine strategy to enhance the robustness to initialization; 2) utilize multiple nonlinear features to ensure the robustness while improve the accuracy. Experimental results on BioID database shows that our improved SDM achieves preferable localization accuracy against the state-of-the-art methods at a speed as fast as 2ms to locate two eyes.
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