Face detection algorithm based on a cascade of ensembles of decision trees
Face detection algorithm based on a cascade of ensembles of decision trees (CEDT) is presented. The new approach allows detecting faces other than the front position through the use of multiple classifiers. Each classifier is trained for a specific range of angles of the rotation head. The results s...
Main Authors: | Anton Lebedev, Vladimir Pavlov, Vladimir Khryashchev, Olga Stepanova |
---|---|
Format: | Article |
Language: | English |
Published: |
FRUCT
2016-04-01
|
Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
Subjects: | |
Online Access: | https://fruct.org/publications/fruct18/files/Leb.pdf
|
Similar Items
-
Novel Ensemble Landslide Predictive Models Based on the Hyperpipes Algorithm: A Case Study in the Nam Dam Commune, Vietnam
by: Quoc Cuong Tran, et al.
Published: (2020-05-01) -
Margin-based Ranking and an Equivalence between AdaBoost and RankBoost
by: Rudin, Cynthia, et al.
Published: (2010) -
RESEARCH for Face Detection on Improved Algorithm of AdaBoost
by: Chen Hong
Published: (2016-01-01) -
Robust Face Detection in Airports
by: Zhang Hong Jiang, et al.
Published: (2004-01-01) -
GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks
by: Bui, Dieu Tien, et al.
Published: (2016)