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Automatic Eye State Recognition and Closed-eye Photo Correction Zhaojie LIU, Haizhou AI
 

Summary: Automatic Eye State Recognition and Closed-eye Photo Correction
Zhaojie LIU, Haizhou AI
Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China
E-mail: ahz@mail.tsinghua.edu.cn
Abstract
In this paper, we present an approach for eye state
recognition and closed-eye photo correction. For eye
state recognition, AdaBoosted cascade open-eye
detectors of different scales are trained. For closed-
eye photo correction, a PCA generative model of
concatenated corresponding closed-eye and open-eye
texture patterns is built, and given a closed-eye texture
pattern, an algorithm is proposed to recover its
corresponding open-eye one for closed-eye
replacement. Experiments on popular consumer
images show our open-eye detectors achieved 94.71%
correct recognition rate, and the closed-eye photo
correction looks very natural.
1. Introduction
With the state-of-the-art face detection techniques,

  

Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University

 

Collections: Computer Technologies and Information Sciences