7 search results - page 1 / 2 » LUT-Based Adaboost for Gender Classification |
CIARP
2006
Springer
13 years 8 months ago
2006
Springer
In this work it is described a framework for classifying face images using Adaboost and domain-partitioning based classifiers. The most interesting aspect of this framework is the ...
AVBPA
2003
Springer
13 years 8 months ago
2003
Springer
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
This paper presents an experimental study on automatic face gender classification by building a system that mainly consists of four parts, face detection, face alignment, texture ...
JRTIP
2008
13 years 3 months ago
2008
A pixel-pattern-based texture feature (PPBTF) is proposed for real-time gender recognition. A gray-scale image is transformed into a pattern map where edges and lines are to be use...
ICB
2007
Springer
13 years 8 months ago
2007
Springer
LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH featu...