CP-GAN: A Cross-Pose Profile Face Frontalization Boosting Pose-Invariant Face Recognition
نویسندگان
چکیده
منابع مشابه
Pose Invariant Face Recognition
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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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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The problem of automatic face recognition is to visually identify a person in an input image. This task is performed by matching the input face against the faces of known people in a database of faces. Most existing work in face recognition has limited the scope of the problem, however, by dealing primarily with frontal views, neutral expressions, and xed lighting conditions. To help generalize...
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Pose-invariant face recognition remains a challenging problem, especially when the pose change is large. Previous studies use either spatial or spectral information to address this problem. In this paper, we propose an algorithm that uses spatial and spectral information simultaneously to deal with large pose changes. We first learn 3D models from 2D images. We then use these 3D models to gener...
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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: IEEE Access
سال: 2020
ISSN: 2169-3536
DOI: 10.1109/access.2020.3033675