CiteULike is a free online bibliography manager. Register and you can start organising your references online.
Tags

HOG-EBGM vs. Gabor-EBGM

by: D. Monzo, A. Albiol, J. Sastre
In Image Processing, 2008. ICIP 2008. 15th IEEE International Conference on (October 2008), pp. 1636-1639, doi:10.1109/icip.2008.4712085  Key: citeulike:11962625

Formatted Citation


Show HTML

Likes (beta)

This copy of the article hasn't been liked by anyone yet.

View FullText article


Abstract

This paper presents a comparison between a new face recognition algorithm based on EBGM which replaces Gabor features by HOG descriptors and the original EBGM. The experiments results show a better performance behavior using public available databases. This better performance is explained by the properties of HOG descriptors which are more robust to changes in illumination, rotation and small displacements, and to the higher accuracy of the face graphs obtained compared to classical Gabor-EBGM ones.


ntbaovn's tags for this article

Citations (CiTO)

No CiTO relationships defined

X There are no reviews yet

X Find related articles with these CiteULike tags

X Posting History


X Export records

Privacy Statement | Terms & Conditions
CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.