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A new technique of scanned image restoration is proposed to save a large amount of important old documents. Firstly, by using a high definition scanner, these obsolete documents are scanned page by page to get the HD images. Secondly, different processing techniques are adopted, including removing black holes, deepening handwriting, denoising, etc., so as to make the contents of the files clearer...
Automatic facial expression recognition is one of the great challenges in facial expression recognition field. An algrithom of automatic facial expression recognition is proposed based on Local Binary Patterns of local areas (LLBP)in this work. First, the position of eye balls is fixed by projection method. Then the local areas of the eyes and mouthpsilas neighbourhood could be determined through...
In this paper, we discuss a new feature selection criterion in boosting. Our method directly optimizes Bhattacharyya distance between the weighted positive and negative samples to find the feature vector instead of brute-force selection from a feature pool. Unlike some similar work including FisherBoost and MRCBoost, the new criterion connects the feature selection process with cost function minimization...
In this work, we present a novel facial feature extraction method for automatic facial expression recognition, which is based on difference of local binary pattern histogram sequences. First, the Local Binary Pattern (LBP) technique is used to extract facial texture features. Then the LBP Map is divided into non-overlapping rectangle regions with specific size, and histogram is computed for each region,...
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