Acquisition of databases for facial analysis

F. Malawski
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Abstract

This article describes guidelines and recommendations for acquisition of databases for facial analysis. New devices and methods for both face recognition and facial expression recognition are constantly developed. In order to evaluate these devices and methods, dedicated datasets are recorded. Acquisition of a database for facial analysis is not an easy task and requires taking into account multiple issues. Based on our experience with recording databases for facial expression recognition, we provide guidelines regarding the acquisition process. Multiple aspects of such process are discussed in this work, namely selection of sensors and data streams, design and structure of the database, technical aspects, acquisition conditions and design of the user interface. Recommendations how to address these aspects are provided and justified. An acquisition software, designed according to these guidelines, is also discussed. The software was used for recording an extended version of our previous facial expression recognition database and proved to both ensure correct data and be convenient for the recorded subjects.
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获取面部分析数据库
本文描述了获取面部分析数据库的指南和建议。人脸识别和面部表情识别的新设备和新方法不断发展。为了评估这些设备和方法,需要记录专用数据集。获取用于面部分析的数据库不是一件容易的事情,需要考虑多个问题。基于我们在面部表情识别记录数据库方面的经验,我们提供了有关获取过程的指导方针。本文讨论了这一过程的多个方面,即传感器和数据流的选择、数据库的设计和结构、技术方面、采集条件和用户界面的设计。提供了如何处理这些方面的建议,并对其进行了论证。并讨论了根据这些准则设计的采集软件。该软件被用于记录我们之前的面部表情识别数据库的扩展版本,并被证明既保证了数据的正确性,又方便了被记录的对象。
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