Errata: Haar-like compact local binary pattern for illumination-robust feature matching
نویسندگان
چکیده
منابع مشابه
Haar Local Binary Pattern Feature for Fast Illumination Invariant Face Detection
Face detection systems based on boosted Haar features in a cascade architecture [3] perform very well both in terms of accuracy and speed. However, they are vulnerable to variations in illumination conditions. On the other hand, face detection systems based on the Local Binary Pattern (LBP) [2] or its variants [1] show robustness to illumination conditions but do not take advantage of the richn...
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In this paper, we propose a hybrid statistical feature extractor, Local Haar Mean Binary Pattern (LHMBP). It extracts level-1 haar approximation coefficients and computes Local Mean Binary Pattern (LMBP) of it. LMBP code of pixel is obtained by weighting the thresholded neighbor value of 3 3 patch on its mean. LHMBP produces highly discriminative code compared to other state of the art method...
متن کاملROY, MARCEL: HLBP FEATURE FOR FAST ILLUMINATION INVARIANT FACE DETECTION1 Haar Local Binary Pattern Feature for Fast Illumination Invariant Face Detection
Face detection is the first step in many visual processing systems like face recognition, emotion recognition and lip reading. In this paper, we propose a novel feature called Haar Local Binary Pattern (HLBP) feature for fast and reliable face detection, particularly in adverse imaging conditions. This binary feature compares bin values of Local Binary Pattern histograms calculated over two adj...
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It is argued that global illumination should be modeled separately from other incidents that change the appearance of objects. The eeects of intensity variations of the global illumination are discussed and constraints deduced that restrict the shape of a function that maps the histogram of a template to the histogram of an image location. This approach is illustrated for simple pattern matchin...
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The locality and edges of texture image may be ignored by the Haar local binary pattern texture features owing to strong subjectivity and poor ability to self-adaptive to the artificial setting judgment threshold. Therefore, from the perspective of Human Vision System (HVS), the new Haar local binary pattern texture feature extraction algorithm (HLBP_HVS) is proposed. The local and global struc...
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ژورنال
عنوان ژورنال: Journal of Electronic Imaging
سال: 2012
ISSN: 1017-9909
DOI: 10.1117/1.jei.21.4.049801