Face Detection and Recognition Using Raspberry PI Computer
| Autor: | Mario Dubovečak, Emil Dumić, Andrija Bernik |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2023 |
| Předmět: | |
| Zdroj: | Tehnički Glasnik, Vol 17, Iss 3, Pp 346-352 (2023) |
| Druh dokumentu: | article |
| ISSN: | 1846-6168 1848-5588 |
| DOI: | 10.31803/tg-20220321232047 |
| Popis: | This paper presents a face detection and recognition system utilizing a Raspberry Pi computer that is built on a predefined framework. The theoretical section of this article shows several techniques that can be used for face detection, including Haar cascades, Histograms of Oriented Gradients, Support Vector Machine and Deep Learning Methods. The paper also provides examples of some commonly used face recognition techniques, including Fisherfaces, Eigenfaces, Histogram of Local Binary Patterns, SIFT and SURF descriptor-based methods and Deep Learning Methods. The practical aspect of this paper demonstrates use of a Raspberry Pi computer, along with supplementary tools and software, to detect and recognize faces using a pre-defined dataset. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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