Face detection using a first-order RCE classifier
- Authors
- Jeon, BH; Lee, KM; Lee, SU
- Issue Date
- 1-Aug-2003
- Publisher
- HINDAWI LTD
- Keywords
- face detection; face model; Hausdorff distance; clustering algorithm; RCE classifier
- Citation
- EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING, v.2003, no.9, pp.878 - 889
- Journal Title
- EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING
- Volume
- 2003
- Number
- 9
- Start Page
- 878
- End Page
- 889
- URI
- https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25942
- DOI
- 10.1155/S1110865703304123
- ISSN
- 1110-8657
- Abstract
- We present a new face detection algorithm based on a first-order reduced Coulomb energy (RCE) classifier. The algorithm locates frontal views of human faces at any degree of rotation and scale in complex scenes. The face candidates and their orientations are first determined by computing the Hausdorff distance between simple face abstraction models and binary test windows in an image pyramid. Then, after normalizing the energy, each face candidate is verified by two subsequent classifiers: a binary image classifier and the first-order RCE classifier. While the binary image classifier is employed as a preclassifier to discard nonfaces with minimum computational complexity, the first-order RCE classifier is used as the main face classifier for final verification. An optimal training method to construct the representative face model database is also presented. Experimental results show that the proposed algorithm yields a high detection ratio while yielding no false alarm.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Engineering > School of Electronic & Electrical Engineering > 1. Journal Articles
![qrcode](https://api.qrserver.com/v1/create-qr-code/?size=55x55&data=https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/25942)
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.