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Communication Dans Un Congrès Année : 2011

Automatic Adaptive Facial Feature Extraction Using CDF Analysis

Paul Sushil Kumar
  • Fonction : Auteur
Shorif Uddin Mohammad
  • Fonction : Auteur

Résumé

This paper proposes a novel adaptive algorithm to extract facial feature points automatically such as eyebrows corners, eyes corners, nostrils, nose tip, and mouth corners in frontal view faces, which is based on cumulative histogram approach by varying different threshold values. The method was tested on a large BioID frontal face database in different illuminations, expressions and lighting conditions and the experimental results have achieved average success rates of 95%.
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Dates et versions

hal-01354532 , version 1 (18-08-2016)

Identifiants

Citer

Paul Sushil Kumar, Saida Bouakaz, Shorif Uddin Mohammad. Automatic Adaptive Facial Feature Extraction Using CDF Analysis. Proceedings of The International Conference on Digital Information and Communication Technology and its Applications, Communications in Computer and Information Science DICTAP2011, Jun 2011, Dijon, France. pp.327-338, ⟨10.1007/978-3-642-21984-9_28⟩. ⟨hal-01354532⟩
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