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Making the Most of Single Sensor Information: A Novel Fusion Approach for 3D Face Recognition Using Region Covariance Descriptors and Gaussian Mixture Models †

Most commercially successful face recognition systems combine information from multiple sensors (2D and 3D, visible light and infrared, etc.) to achieve reliable recognition in various environments. When only a single sensor is available, the robustness as well as efficacy of the recognition process...

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Detalles Bibliográficos
Autores principales: Križaj, Janez, Dobrišek, Simon, Štruc, Vitomir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8950587/
https://www.ncbi.nlm.nih.gov/pubmed/35336559
http://dx.doi.org/10.3390/s22062388