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We present a method of robustly identifying a text block in complex web images. The method is a MLP (Multi-layer perceptron) classifier trained on LBP (Local binary patterns), wavelet and shape feature spaces. Especially, we propose adaptive masks of LBP which responses flexibly to various character sizes. Most of previous works use fixed mask size or multi level scales by pyramid schemes, which may...
The development of automatic visual control system is a very important research topic in computer vision. There is an complex task of development face identification system robust to the various quality of the images as light, face expression, glasses, beards, moustaches etc. We propose using the wavelet transformation algorithms for reduction the source data space. We have realized an expansion of...
In this paper we present a framework for detecting, recognizing, and localizing objects in overlapping multi-camera network. The three main components of the framework include background change detection, object recognition, and object localization. The background change detection is based on analyzing wavelet transform coefficients of small patches of non-overlapping 3D texture maps. Detected changed...
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