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3D face data contains holes, spikes and significant noise which must be removed before any further operations such as feature detection or face recognition can be performed. Removing these anomalies from the complete data is expensive as it also contains non-facial regions. We present a realtime algorithm that can detect the eyes and the nose tip in raw 3D face images in about 210 msecs. With three...
In this paper, a methodology for facial feature identification and localization approach is proposed based on binary neural network algorithms. We present a head pose and facial expression invariant 3D shape descriptor called mesh-like multi circle curvature descriptor (MMCCD), which provides more 3D curvature attributes than other similar approaches. To search and match the feature patterns with...
In this paper, we describe a new approach to face image coding using Gabor Wavelet Networks (GWN). This type of network yields good results in many signal coding applications and was already used for face representation by Kruger in 2001. The main idea is to approximate the face image, considered as a two dimensional function, with a set of Gabor wavelets. We describe an improved network training...
In this paper, we present a novel identity verification system based on Gabor features extracted from range (3D) representations of faces. Multiple landmarks (fiducials) on a face are automatically detected using these Gabor features. Once the landmarks are identified, the Gabor features on all fiducials of a face are concatenated to form a feature vector for that particular face. Linear discriminant...
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