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pro vyhledávání: '"Srinivasa Perumal Ramalingam"'
Autor:
Srinivasa Perumal Ramalingam
Publikováno v:
ELCVIA Electronic Letters on Computer Vision and Image Analysis, Vol 19, Iss 3 (2020)
Face analysis, which includes face recognition and facial expression recognition, has been attempted by many researchers and gave ideal solutions. The problem is still active and challenging due to an increase in the complexity of the problem viz. du
Externí odkaz:
https://doaj.org/article/805b4a8b38354528ab27bdd83f3b6bd6
Publikováno v:
International Journal of Multimedia Information Retrieval. 7:129-137
Face analysis is an emerging area in biometric research. This paper proposed the robust local descriptor using deep learning for face analysis. Recently the researchers used the adaptive filter approach to enhance the image instead of using the stati
Publikováno v:
Journal of Ambient Intelligence and Humanized Computing. 9:95-103
Face recognition and facial expression recognition using local patterns is the order of the day. Local directional number pattern (LDNP) is one of the prominent descriptor for face recognition. LDNP assigns a 3 bit code for each pixel in the image. T
Face recognition is an emerging research area in recognition of the people. A novel feature extraction technique was introduced for robust face recognition. Enhanced Local binary pattern (EnLBP) divided the image into sub regions. For each sub region
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe19f1ce80f9d37cf04dcece40021fb
https://zenodo.org/record/4105731
https://zenodo.org/record/4105731
Publikováno v:
International Journal of Biometrics. 8:52
Face recognition can be done efficiently using local approaches. Local directional pattern LDP is one such approach that serves as a descriptor for face recognition. It assigns a code for each pixel and the image is encoded. Histogram binning is done