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Generating face images based on 3D morphable model

机译:基于3D可变形模型生成人脸图像

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摘要

In modern days the demand for biometrics increases rapidly. The world still needs to solve many problems and answer to lot of questions regarding to biometrics for creating better solutions for recognition and verification of objects. Biometrics has become really important topic of our security. Number of input samples per person affects recognition in modern algorithms used for face recognition. We can say that single-sample problem is one of the most challenging problems in face recognition. Most of face recognition algorithms requires at least two samples per person but it is very important to create a system where only one sample per person would achieve a good performance. This topic is especially related to passport and id photos because they include only one picture of person. In this paper, we explain process of reconstruction and generating 3D face model created from id or passport photo. We also present our results that shows influence of generated new samples on face recognition.
机译:在现代,对生物识别技术的需求迅速增加。为了创建更好的识别和验证物体的解决方案,世界仍然需要解决许多问题并回答许多有关生物识别的问题。生物识别技术已经成为我们安全的真正重要话题。每人输入样本的数量会影响用于面部识别的现代算法中的识别。可以说单样本问题是人脸识别中最具挑战性的问题之一。大多数人脸识别算法每人至少需要两个样本,但是创建一个每人仅一个样本才能获得良好性能的系统非常重要。该主题尤其与护照和身份证照片有关,因为它们仅包含一张人的照片。在本文中,我们说明了重建和生成由身份证或护照照片创建的3D人脸模型的过程。我们还介绍了我们的结果,这些结果显示了生成的新样本对面部识别的影响。

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