A SURVEY ON FACIAL IMAGE RECOGNITION AND RECONSTRUCTION

Autor:	Reshma M S*1 & Sabeena M 2
Rok vydání:	2019
Předmět:	ComputingMethodologies_PATTERNRECOGNITION ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Facial Image Recognition Reconstruction Face Super Resolution Low Resolution Face Super Resolution ComputingMethodologies_COMPUTERGRAPHICS
DOI:	10.5281/zenodo.2629254
Popis:	Human face is essential information for robust applications. Facial Image Recognition and Reconstruction is always challenging in computer vision. The facial images are often present in very low resolution due to environmental influence and imaging equipment limitation. This can be solved by using many face super resolution techniques. Facial image recognition methods can be vision oriented or recognition oriented methods. Many works have been done in the progress of automatic Facial image Recognition and Reconstruction. This has many applications in security, health and human computer interaction. In the recent years, there is an increase in the studies of Facial Image Recognition and Reconstruction system. This survey presents a review of approaches in Facial Image Recognition and Reconstruction using different technologies.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::85727f93269d27733ad7a491665134bf Zobrazit plný text záznamu