DocumentCode
3378472
Title
Enhancing the Bayesian network approach to face detection
Author
De Souza Coelho, Paulo Sérgio ; Esperança, Cláudio ; De Oliveira, Antonio Alberto Fernandes
Author_Institution
Lab. de Comput. Grafica, Univ. Fed. do Rio de Janeiro, Brazil
fYear
1999
fDate
1999
Firstpage
150
Lastpage
159
Abstract
This work presents some improvements to the Bayesian network approach to face detection. Feature selection is directed towards avoiding the problems caused by considering feature fragments as complete features. More selective criteria for grouping are applied, thus reducing the number of candidate groups that must be considered. Statistical measures dependent on the feature size are used to increase the detection reliability, especially in images of groups of people
Keywords
belief networks; face recognition; feature extraction; statistical analysis; Bayesian network approach; candidate groups; detection reliability; face detection; feature fragments; feature selection; feature size; people; selective criteria; statistical measures; Bayesian methods; Control systems; Data security; Face detection; Face recognition; Image recognition; Lighting; Mouth; Size measurement; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science Society, 1999. Proceedings. SCCC '99. XIX International Conference of the Chilean
Conference_Location
Talca
ISSN
1522-4902
Print_ISBN
0-7695-0296-2
Type
conf
DOI
10.1109/SCCC.1999.810170
Filename
810170
Link To Document