Automatic Frontal Face Reconstruction Approach for Pose Invariant Face Recognition
نویسندگان
چکیده
منابع مشابه
Automatic Frontal Face Reconstruction Approach for Pose Invariant Face Recognition
Handling pose variations for face recognition system is a challenging task. The recognition rate is drastically decreasing with the images captured in uncontrolled environment having pose variations in yaw, pitch and roll angles. When the face image with frontal pose it is proved that the recognition system performs well. In this research an attempt is made to reconstruct frontal pose face imag...
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In this paper, we describe a novel neural network architecture, which can recognize human faces with any view in a certain viewing angle range (fromy left 30 degrees to right 30 degrees out of plane rotation). View-specific eigenface analysis is used as the frontend of the system to extract features, and the neural network ensemble is used for recognition. Experimental results show that the rec...
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Pose-variant face generation We designed a network to predict 3DMM parameters from a single face image. The design is mainly based on VGG16 [4]. We use the same number of convolutional layers as VGG16 but replacing all max pooling layers with stride-2 convolutional operations. The fully connected (fc) layers are also different: we first use two fc layers, each of which has 1024 neurons, to conn...
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iii ACKNOWLEDGEMENTS I would like thank my thesis supervisor Assoc. Prof. Lale Akarun for her guidance , endless patience and stimulation that I needed to complete this work. Without her supervision and efforts, this work may not have seen the light of day. I also would like to thank my shadow supervisor Assoc. Prof. A. I. Ethem Alpaydın for his continuous discussions, clever ideas on the topic...
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One of the major difficulties in face recognition systems is the in-depth pose variation problem. Most face recognition approaches assume that the pose of the face is known. In this work, we have designed a feature based pose estimation and face recognition system using 2D Gabor wavelets as local feature information. The difference of our system from the existing ones lies in its simplicity and...
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ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2016
ISSN: 1877-0509
DOI: 10.1016/j.procs.2016.05.165