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Global warming mitigation has recently become a priority worldwide. A large body of literature dealing with energy related problems has focused on reducing greenhouse gases emissions at an engineering scale. In contrast, the minimization of climate change at a wider macroeconomic level has so far received much less attention. We investigate here how to mitigate global warming by performing changes...
In object recognition a robust feature set is considered as an important component in almost all the approaches proposed in the literature. In facial analysis, one of the best known feature set is based in Local Binary Patterns (LBP) which extracts the information contained in the image using comparisons between pixels in a region, finally such comparisons are encoded in form of histogram. We argue...
In this paper we present a new robust method for recognizing face images using a robust tensorial representation of binary gaussian jet maps (Tensor-Jet). This tensorial representation captures local appearance while retaining information about the spatial structure. During the tensors construction, each Gaussian Jet map is calculated with a Half Octave Gaussian Pyramid using a linear complexity algorithm...
The half-octave Gaussian pyramid is an important tool in computer vision and image processing. The existence of a fast algorithm with linear computational complexity makes it feasible to implement the half-octave Gaussian pyramid in embedded computing systems using only integer arithmetic. However, the use of repeated convolutions using integer coefficients imposes limits on the minimum number of...
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