Image Quality Assessment for Multi Face recognition Based on Learning to Rank
Face quality, Automatic face recognition, Learning to Rank, Convolution Neural Network
Automatic face recognition technology has attracted a great amount of attention from both academia and industry in the recent trends. It is usually possible for practical recognition systems to capture multiple face images from each subject. Selecting face images with high quality for recognition is a promising stratagem for improving the system performance. It was proposed a simple and flexible frame work for face image quality assessment, in which multiple feature fusion and learning to rank are used. The proposed method is simple and can adapt to different recognition methods. To demonstrate the overall effectiveness of the proposed method, it was used heuristic criteria for data selection in experiments.
Article Details
Unique Paper ID: 144108

Publication Volume & Issue: Volume 3, Issue 6

Page(s): 77 - 82
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