人脸、眼睛检测与注视估计的研究

Zeynep Orman, Abdulkadir Battal, E. Kemer
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引用次数: 30

摘要

人脸和眼睛检测是计算机视觉领域最具挑战性的问题之一。本文的目的是对现有的关于人脸和眼睛检测和注视估计的文献进行研究。随着近年来基于人脸和眼睛检测的系统在生活的各个领域的兴起,这一课题越来越受到学术界和工业界的关注。关于面部和眼睛的检测已经进行了许多不同的研究。除了有许多具有挑战性的问题,如不同的照明条件,眼镜,面部毛发或胡须,不同的方向姿势或面部遮挡,面部和眼睛的检测方法取得了很大的进步。本文首先对人脸检测模型进行了分类,研究了人脸检测的基本算法。然后,我们提出了眼睛检测和注视估计方法。
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A STUDY ON FACE , EYE DETECTION AND GAZE ESTIMATION
Face and eye detection is one of the most challenging problems in computer vision area. The goal of this paper is to present a study over the existing literature on face and eye detection and gaze estimation. With the uptrend of systems based on face and eye detection in many different areas of life in recent years, this subject has gained much more attention by academic and industrial area. Many different studies have been performed about face and eye detection. Besides having many challenging problems like, having different lighting conditions, having glasses, facial hair or mustache on face, different orientation pose or occlusion of face, face and eye detection methods performed great progress. In this paper we first categorize face detection models and examine the basic algorithms for face detection. Then we present methods for eye detection and gaze estimation.
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