Performance Improvement of Automatic Facial Midline Detection by Chain–coded Merlin–Farber Hough Transform
Ohyama, W. Okamoto, D. Wakabayashi, T. Kimura, F.
Graduate School of Engineering, Mie University Graduate School of Engineering, Mie University Graduate School of Engineering, Mie University Graduate School of Engineering, Mie University
Graduate School of Regional Innovation Studies, Mie University
Proceedings of the Second International Workshop on Regional Innovation Studies : (IWRIS2010)
Face Image Processing / Facial Midline / Hough Transform
We propose a novel approach for detection of
the facial midline from a frontal face image. The facial mid-
line has several applications, for instance reducing computa-
tional cost required for facial feature extraction (FFE) and post-
operative assessment for cosmetic or dental surgery. The pro-
posed method detects the facial midline of a frontal face from an
edge image as the symmetry axis using the Merlin–Faber Hough
transformation. Experimental results on the FERET database
indicate that the proposed algorithm can accurately detect mid-
lines of face images with different scales and rotation.