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Tytuł artykułu

Facial feature extraction from a monochromatic picture

Autorzy
Identyfikatory
Warianty tytułu
Konferencja
Computer Applications in Electrical Engineering 2009 [Poznan, 20-22 April, 2009]
Języki publikacji
EN
Abstrakty
EN
Face pose determination represents an important area of research in Human Machine Interaction. In this paper, I describe a new method of extracting facial feature locations from a single monochromatic monocular camera for the purpose of estimating and tracking the three dimensional pose of human face and eye-gaze direction.
Rocznik
Tom
Strony
207--213
Opis fizyczny
Bibliogr. 11 poz.
Twórcy
autor
  • Gdansk University of Technology
Bibliografia
  • [1] Qiang J., Rong H.: 3D face pose estimation and tracking from a monocular camera, Image and Vision Computing (2002).
  • [2] Darrell T., Moghaddam B., Pentland A.P.: Active face tracking and pose estimation in an interactive room, IEEE Computer Society Conference on Computer Vision and Pattern Recognition (1996), 67-72.
  • [3] Murase H., Najar S.K.: Visual learning and recognition of 3D objects from appearance, International Journal of Computer Vision 14 (1995).
  • [4] Chen Q., Wu H., Shioyama T., Shimada T.: A robust algorithm for 3D head pose estimation, IEEE International Conference on Multimedia Computing and Systems (1999), 697-702.
  • [5] Rae R., Ritter H.J.: Recognition of human head orientation based on artificial neural networks, IEEE Transactions on Neural Networks 9 (1998), 257-265.
  • [6] Nikolaidis A., Pitas I.: Facial Feature Extraction and Determination of Pose, http://citeseerx.ist.psu.edu (april 2008).
  • [7] Stiefelhagen R., Yang J., Waibel A.: A model-based gaze tracking system, IEEE International Joint Symposia on Intelligence and Systems (1996), 304-310.
  • [8] Ho S.Y., Huang H.L.: An analytic solution for the pose determination of human faces from a monocular camera, Pattern Recognition Letters 19 (1998), 1045-1054.
  • [9] Tsukamoto A., Lee C.W.: A visual interaction system using real-time face tracking, The 28th Asilomar Conference on Signals, Systems and Computers 2 (1994), 1282-1286.
  • [10] Hattori K., Matsumori S., Sato Y.: Estimating pose of human face based on symmetry plane using range and intensity images, International Conference on Pattern Recognition 14 (1998), 1183-1187.
  • [11] Cristinacce D., Cootes T.F.: Facial Feature detection and tracking with automatic template selection, International Conference on Automatic Face and Gesture Recognition 7 (2006), 429-434.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPP4-0001-0147
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