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Due to a problem of current research occurring when recognizing facial expressions from a 2.5 D partial face data set taken from any viewpoint ranging from -45deg to +45deg, we propose a novel method for recognizing facial expressions from a 2.5D partial face data set. A 2.5D partial data set is captured from any viewpoint between -45deg and +45deg. The proposed method is developed for subject-independent...
Due to the existing problem of recognizing the partial face expression from a viewpoint between -/+45deg, this paper proposes a novel method for recognizing the partial face expression from a 2.5D partial face image by using displacement vector. The 2.5D partial face image is captured from a viewpoint between -/+45deg. The 3D virtual expression face is reconstructed from a 2.5D partial face image...
The problem of recognizing the partial face expression captured from a viewpoint between -/+45deg arises in many fields of science and engineering, this paper propose the novel method for recognizing the partial face expression by using an 2.5D partial face image. The 2.5D partial face image is captured from a viewpoint between -/+45deg. The 3D virtual expression face is reconstructed from 2.5D partial...
Due to the existing problem of extracting the significant feature as the nose from any viewpoint between -/+90 degree, this paper propose the new robust method for localizing the nose tip and ridge by using the ellipse fitting technique from only one 2.5D image. The cross section across the head is fitted by ellipse, and then the semimajor axis vectors are corrected to the nose tip and ridge by the...
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