Prethodno priopćenje
Single and Multi-Person Face Recognition Using the Enhanced Eigenfaces Method
Krešimir Romić
; Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering
Časlav Livada
; Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering
Andrija Glavaš
; Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Department of Software Engineering
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.
Ključne riječi
Eigenfaces; face detection; face recognition; Viola-Jones
Hrčak ID:
158529
URI
Datum izdavanja:
20.5.2016.
Posjeta: 1.779 *