@inproceedings{fb1919db461340b2958e443d4278832d,
title = "Closed boundary face detection in grayscale images using watershed segmentation and DSFPN",
abstract = "In this paper we describe a face detection method from grayscale images using a watershed based region segmentation with a neural network classifier. The algorithm segments the image into regions using a watershed algorithm. The regions are later merged and filtered leaving highly probable face region candidates. Using the Dynamic Supervised Forward Propagation Network (DSFPN), the system then verifies the possible candidate regions for faces and outputs the closed boundary for detected face regions.",
keywords = "DSFPN, Grayscale face detection, Watershed",
author = "Yeong, \{Lee Seng\} and Ang, \{Li Minn\} and Seng, \{Kah Phooi\}",
year = "2009",
doi = "10.1109/ISPACS.2009.4806698",
language = "English",
isbn = "9781424425655",
series = "2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008",
publisher = "IEEE Computer Society",
booktitle = "2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008",
note = "2008 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2008 ; Conference date: 08-02-2009 Through 11-02-2009",
}