@INPROCEEDINGS{18.eusipco.vision,
   author =  "Silvère Konlambigue and Jean-Baptiste Pothin and Paul Honeine and Abdelaziz Bensrhair",
   title =  "Fast and Accurate Gaussian Pyramid Construction by Extended Box Filtering",
   booktitle =  "Proc. 25rd European Conference on Signal Processing (EUSIPCO)",
   address =  "Rome, Italy",
   year  =  "2018",
   month =  "3 - 7~" # sep,
   pages    =  "400-404",
   keywords =  "machine learning, computer vision",
   acronym =  "EUSIPCO",
   url_paper  =  "http://honeine.fr/paul/publi/18.eusipco.vision.pdf",
   url_link= "https://ieeexplore.ieee.org/document/8553321",
   doi = "10.23919/EUSIPCO.2018.8553321", 
   keywords={Convolution, Kernel, Two dimensional displays, Signal processing algorithms, Europe, Computer vision, Gaussian pyramid, extended box filters, computer vision, SIFT}, 
   abstract = "Gaussian Pyramid (GP) is one of the most important representations in computer vision. However, the computation of GP is still challenging for real-time applications. In this paper, we propose a novel approach by investigating the extended box filters for an efficient Gaussian approximation. Taking advantages of the cascade configuration, tiny kernels and memory cache, we develop a fast and suitable algorithm for embedded systems, typically smartphones. Experiments with Android NDK show a 5x speed up compared to an optimized CPU-version of the Gaussian smoothing."
}

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