Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/97101
Type: Artigo de evento
Title: A Robust Adaboost-based Algorithm For Low-resolution Face Detection
Author: Merjildo D.A.F.
Ling L.L.
Abstract: This work presents a face detection algorithm based on Multiscale Block Local Binary Patterns (MB-LBP) and an improved AdaBoost algorithm. The proposed boosting algorithm is capable of avoiding sample overfitting over its training process. This goal is achieved by making use of the information of sample misclassification frequency to update the weight distribution in the training process. Experimental results evidence some advantages of the proposed method over the classical AdaBoost algorithms, including the generalization capacity, overfitting avoidance and high precision rate on low-resolution images. © 2012 Springer-Verlag.
Editor: 
Rights: fechado
Identifier DOI: 10.1007/978-3-642-32639-4_45
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-84864967952&partnerID=40&md5=884b1c6acd5f4b331433e972f043c510
Date Issue: 2012
Appears in Collections:Unicamp - Artigos e Outros Documentos

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