مشاهده مشخصات مقاله
Pose-Invariant Face Recognition in Video Sequences by 3D Face Reconstruction and Synthesis Face Pose
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نویسنده (ها) |
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Ali Moeini
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Karim Faez
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Abdolmanaf Mehrabi Sisakht
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Hossein Moeini
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مربوط به کنفرانس |
سمپوزیوم هوش مصنوعی و پردازش سیگنال 2013 |
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چکیده |
In this paper, a novel manner for unrestrained pose-invariant face recognition was proposed. Also, a novel and efficient method was proposed to reconstruct the 3D models of a human face from a single 2D face image with variety in facial expression using the Deformable Generic Elastic Model (D-GEM). Three generic models were em-ployed for modeling facial expression in the Generic Elastic Model (GEM) framework and a mixture of these three models by using computing distance around face lips. Par-ticularly, present method was tested on an available 2D face databases without facial expression images and a new synthesized sequences pose from gallery images and com-pared present synthesized results with target face images by performing face recognition using the rank-one recognition rate with the smallest cosine distance. Promising results were acquired for handling pose changes based on the proposed method compared to the GEM approach |
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قیمت |
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