Face detection and eye localization by neural network based color segmentation

被引：0

作者：

Fu, HC ^{[1
]}

Lai, PS ^{[1
]}

Lou, RS ^{[1
]}

Pao, HT ^{[1
]}

机构：

[1] Natl Chiao Tung Univ, Dept Comp Sci & Informat Engn, Hsinchu 30050, Taiwan

来源：

NEURAL NETWORKS FOR SIGNAL PROCESSING X, VOLS 1 AND 2, PROCEEDINGS | 2000年

关键词：

color segmentation; face detection; eye localization;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a neural network based scheme for human face detection and eye localization in color images under non-constrained scene. A Self-growing Probabilistic Decision-based Neural Network (SPDNN) is used to learn the conditional distribution for each color classes. Pixels of a color image are first classified into facial or non-facial regions, then pixels in the facial region are followed by eye region segmentation. The class of each pixel is determined by using the conditional distribution of the chrominance components of pixels belonging to each class. The paper demonstrates a successful application of SPDNN to face detection and eye localization on a database of 755 images from 151 persons. Regarding the performance, experimental results are elaborated in Section 3. As to the processing speed, the face detection and eye localization processes consume approximately 560 ms on a Pentium-II personal computer.

引用

页码：507 / 516

页数：10