On Combining Edge Detection Methods for Improving BSIF Based Facial Recognition Performances

Autor:	Luca Ghiani, Pierluigi Tuveri, Mohanad Abukmeil, Gian Luca Marcialis
Rok vydání:	2016
Předmět:	Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology 01 natural sciences Facial recognition system Edge detection 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Three-dimensional face recognition 020201 artificial intelligence & image processing Computer vision Artificial intelligence Invariant (mathematics) 010306 general physics business
Zdroj:	Articulated Motion and Deformable Objects ISBN: 9783319417776 AMDO
DOI:	10.1007/978-3-319-41778-3_11
Popis:	Lighting variation is a major challenge for an automatic face recognition system. In order to overcome this problem, many methods have been proposed. Most of them try to extract features invariant to illumination changes or to reduce illumination changes in a pre-processing step and to extract features for recognition.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2c69e44652e0c7a4955203902ff418fd https://doi.org/10.1007/978-3-319-41778-3_11 Zobrazit plný text záznamu