• DocumentCode
    2994283
  • Title

    A new eye location method based on Ring Gabor Filter

  • Author

    Zhang, Yanfang ; Sun, Nongliang ; Gao, Yang ; Cao, Maoyong

  • Author_Institution
    Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao
  • fYear
    2008
  • fDate
    1-3 Sept. 2008
  • Firstpage
    301
  • Lastpage
    305
  • Abstract
    The eyes are the most important facial landmarks on human face. It is significant to extract the feature of eyes efficiently. In order to improve the real-time and veracity performance of the eye location method, this paper presents a coarse-to-fine eye location method based on ring Gabor filter (RGF). First an elliptical Gabor filter is devised to convolute with the face image to highlight the eye region, which can be exploited to segment the two pupil regions efficiently. After getting the region of the pupil, a circular Gabor filter is used to locate the centre of the eyeball. Extensive experiments on the face base show that the method can locate the pupils accurately. Comparing with other algorithms, results prove that this method is robust to the variations of face poses, expressions, accessories and illuminations.
  • Keywords
    Gabor filters; elliptic filters; eye; face recognition; feature extraction; image segmentation; circular Gabor filter; elliptical Gabor filter; eye location; eye segmentation; face image; facial landmark; feature extraction; ring Gabor filter; Band pass filters; Eyes; Face detection; Face recognition; Feature extraction; Gabor filters; Image segmentation; Lighting; Robustness; Shape; Circular Gabor Filter; Elliptical Gabor Filter; Ring Gabor Filter; coarse-to-fine; eye location;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4244-2502-0
  • Electronic_ISBN
    978-1-4244-2503-7
  • Type

    conf

  • DOI
    10.1109/ICAL.2008.4636164
  • Filename
    4636164