Face recognition is one of the most important tasks in computer vision and pattern recognition. Face recognition is useful for security systems to provide safety. In some situations it is necessary to identify the person among many others. In this case this work presents new approach in data indexing, which provides fast retrieval in big image collections. Data indexing in this research consists of five steps. First, we detect the area containing face, second we align face, and then we detect areas containing eyes and eyebrows, nose, mouth. After that we find key points of each area using different descriptors and finally index these descriptors with help of quantization procedure. The experimental analysis of this method is performed. This paper shows that performing method has results at the level of state-of-the-art face recognition methods, but it is also gives results fast that is important for the systems that provide safety.
DOI: http://dx.doi.org/10.1117/12.2238096
РИНЦ: https://www.elibrary.ru/item.asp?id=29470281
ResearchGate: https://www.researchgate.net/publication/345839844_Effective_indexing_for_face_recognition
Sochenkov I. et al. Effective indexing for face recognition // SPIE Optical Engineering + Applications. – International Society for Optics and Photonics, 2016. – С. 997124-997124-9