Pregled bibliografske jedinice broj: 869916
Single and Multi-Person Face Recognition Using the Enhanced Eigenfaces Method
Single and Multi-Person Face Recognition Using the Enhanced Eigenfaces Method // International journal of electrical and computer engineering systems, 7 (2016), 1; 23-28 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 869916 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Single and Multi-Person Face Recognition Using the Enhanced Eigenfaces Method
Autori
Romić, Krešimir ; Livada, Časlav ; Glavaš, Andrija
Izvornik
International journal of electrical and computer engineering systems (1847-6996) 7
(2016), 1;
23-28
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
eigenfaces ; face detection ; face recognition ; Viola-Jones
Sažetak
This research studies and analyzes the possibility of single-person and multi-person face detection and recognition. Face detection is performed by the Viola-Jones face detection method and recognition is performed by the Eigenfaces method. Unchanged face detection and recognition methods are explained and tested to their limits. Improvement in face recognition is achieved by observing the flaws of the Eigenfaces method and their enhancement.
Izvorni jezik
Engleski
Znanstvena područja
Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek
Citiraj ovu publikaciju:
Časopis indeksira:
- Web of Science Core Collection (WoSCC)
- Emerging Sources Citation Index (ESCI)
- Scopus
Uključenost u ostale bibliografske baze podataka::
- EMBASE (Excerpta Medica)
- CiteFactor
- Engineering Village
- Genamics
- Google scholar
- HRČAK
- UlrichsWEB
