美国音乐学论文代写:人脸识别技术

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06/12/2018

美国音乐学论文代写:人脸识别技术

人脸识别或人脸表示技术作为一种非接触生物识别技术,在各种情况下都得到了广泛的应用。传统的人脸识别方法不能满足当前市场的需求(Kasar et al., 2016)。这是因为传统的方法精度很低,甚至在各种场合都受到限制。不受限制的人脸识别需要大量的努力和技术。然而,目前的人脸识别技术已经取得了较高的准确率和较低的入侵率。人脸识别产生了“无干扰的生理方法”的准确性(Kasar et al, 2016, p. 83)。这也是人脸识别引起心理学、安全、犯罪研究、图像处理和计算机视觉等领域研究人员关注的原因。人脸识别是在各种算法中产生的,在多媒体图像处理中被证明是非常重要的。

美国音乐学论文代写:人脸识别技术

人脸识别技术分析了不同人脸图像的各种特征。这些图像是通过创意相机的输入和在线图像捕捉产生的。然而,人脸识别技术的现状是不成熟的,它是随着深度学习的发展而进步的(Sun et al., 2015)。人脸识别技术也被引入以验证人的真实身份。这项技术是专门基于生物识别领域的。Kasar et al.(2016)认为,“生物识别技术是一种利用独特的生理特征(如指纹、眼睛、脸等)或行为特征(如声音和签名等)来识别人的技术”(82页)。简单来说,可以说生物识别是利用计算机进行人脸识别。生物识别系统主要包括人脸检测、预处理、特征提取和人脸识别四个部分。

美国音乐学论文代写:人脸识别技术

Face recognition or the face representation is significantly used in various circumstances as the non contact biometrics. The conventional method of face recognition could not justify the current demands of the market (Kasar et al., 2016). This is because the conventional method produced very low accuracy and it was even restricted at various occasions. The unrestricted face recognition requires significant efforts and techniques. However, the current technology in face recognition is successful in producing high accuracy and low intrusiveness. Face recognition has produced the accuracy of the “physiological approach without being intrusive” (Kasar et al, 2016, p. 83). This has been the reason that face recognition has drawn the attention of the researchers from the field of psychology, security, criminal studies, image processing and computer vision. Face recognition is produced in various algorithms and has proved to be very important in the multimedia image processing.

美国音乐学论文代写:人脸识别技术

The technique of face recognition analyses various characteristics of the image of different faces. These images are produced through the input of the idea cameras and through online image capturing. However, the state of the art technology of the face recognition is done and it has advanced by the development of the deep learning (Sun et al., 2015). Face recognition technology has also been introduced for the verification of the actual identity of the person. This technology is specifically based on the field of Biometrics. According to Kasar et al. (2016), “Biometrics is a technique for identifying people by using a unique physiological characteristic, such as a fingerprint, eye, face, etc. or behavioural characteristics, e.g., voice and signature etc” (p. 82). In simple words, it can be said that Biometrics is the use of computer for face recognition. There are four main elements of the biometric system that includes Face Detection, Pre-processing, Feature Extraction and Face Recognition.

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