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In this paper we show how the MIPA4k vision processor can be used to extract and process local image features called Local Binary Patterns (LBPs). Using these low level image features more advanced higher level processing can be performed. LBP histograms can be extracted with wide field of potential applications. Also, directional thresholding results, which are part of LBP extraction process, can...
We present a block based image matching framework in order to estimate motion field and for matching pre-learned face templates to grayscale input images. The proposed algorithm is designed particularly for SIMD type massively parallel processing capable of binary operations and global result read-out. Face detection is performed by facial templates of different sizes, which are slid through the image...
In this paper, we present a novel massively parallel implementation of a local binary pattern based face recognition algorithm, improving the recognition accuracy. An adaptive block matching method is introduced in the context of the proposed algorithm for massively parallel image processing, allowing simultaneous face alignment and recognition. We also consider main architecture level issues in the...
A non-parametric image measure, symmetry, for local binary patterns has been introduced. In this paper, we propose a generalised symmetry transform for arbitrary neighbourhoods and describe its theoretical properties. The symmetry of the local binary patterns is shown to be a special case of a more general non-parametric concept. Applications of the symmetry include searching of interest points and...
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