FACIAL FIDUCIAL POINTS DETECTION USING DISCRIMINATIVE FILTERING ON PRINCIPAL COMPONENTS

被引：0
|
作者：
Junior, Waldir S. S. [1 ,2 ]
Araujo, Gabriel M. [1 ]
da Silva, Eduardo A. B. [1 ]
Goldenstein, Siome K. [3 ]
机构：
[1] Univ Fed Rio de Janeiro, PEE COPPE DEL POLI, Cx P 68504, BR-21945970 Rio De Janeiro, Brazil
[2] Univ Fed Amazonas, CETELI, DET, BR-69077000 Manaus, Amazonas, Brazil
[3] Univ Estadual Campinas, IC, BR-13084971 Campinas, SP, Brazil
来源：
2010 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING | 2010年
关键词：
Pattern Recognition; Discriminative Filtering; Principal Component Analysis; Fiducial Points; AdaBoost; IMPULSE RESTORATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The Discriminative Filtering technique performs pattern recognition using a two-dimensional filter. It has a closed-form design, based on the pattern and the statistics of the image set. Here, we investigate the use of Discriminative Filtering for detecting fiducial points in human faces. We show that designing discriminative filters for the principal components increases robustness. The method is assessed in a fiducial points detection framework using a Gentle AdaBoost classifier.
引用
收藏
页码：2681 / 2684
页数：4
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