Using object-oriented databases in face recognition
| Autor: | V. I. Ionin, X. C. Dong |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Class (computer programming)
Information retrieval Computer science active appearance models Frame (networking) Information technology Object (computer science) T58.5-58.64 Facial recognition system Convolutional neural network Active appearance model object-oriented database Identifier Identification (information) identifier communication between data active form models face recognition abstract data types |
| Zdroj: | Sistemnyj Analiz i Prikladnaâ Informatika, Vol 0, Iss 2, Pp 54-60 (2020) |
| ISSN: | 2414-0481 2309-4923 |
| Popis: | The aim of the work is to develop an algorithm functioning by a face recognition system using object-oriented databases. The system provides automatic identification of the desired object or identifies someone using a digital photo or video frame from a video source. The technology includes comparing pre-scanned face elements from the resulting image with prototypes of faces stored in the database. Modern packages of object-oriented databases give the user the opportunity to create a new class with the specified attributes and methods, obtain classes that inherit attributes and methods from super classes, create instances of the class, each of which has a unique object identifier, extract these instances one by one or in groups, and also download and perform these procedures. Using a convolutional neural network in the algorithm allows the transition from specific features of the image to more abstract details. |
| Databáze: | OpenAIRE |
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