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PREMI
2005
Springer

Illumination Invariant Face Alignment Using Multi-band Active Appearance Model

14 years 25 days ago
Illumination Invariant Face Alignment Using Multi-band Active Appearance Model
Abstract. In this study, we present a new multi-band image representation for improving AAM segmentation accuracy for illumination invariant face alignment. AAM is known to be very sensitive to the illumination variations. We have shown that edges, originating from object boundaries are far less susceptible to illumination changes. Here, we propose a contour selector which mostly collects contours originating from boundaries of the face components (eyes, nose, chin, etc.) and eliminates the others arising from texture. Rather than representing the image using grey values, we use Hill, Hue and Grey value (HHG) for image representation. We demonstrate that HHG representation gives more accurate and reliable results as compared to image intensity alone under various lighting conditions.
Fatih Kahraman, Muhittin Gökmen
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where PREMI
Authors Fatih Kahraman, Muhittin Gökmen
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