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                            "codemeta:affiliation": "CMLA, ENS Cachan, France",
                            "codemeta:name": "Ives Rey Otero"
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                            "codemeta:affiliation": "ECE, Duke University, USA",
                            "codemeta:name": "Mauricio Delbracio"
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                    "codemeta:dateCreated": "2015-08-06",
                    "codemeta:datePublished": "2016-02-02",
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                        "codemeta:name": "Image Processing On Line (IPOL)",
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                        "codemeta:abstract": "Gaussian convolution is one of the most important algorithms in image processing. The present work focuses on the computation of the Gaussian scale-space, a family of increasingly blurred images, responsible, among other things, for the scale-invariance of SIFT, a popular image matching algorithm. We discuss and numerically analyze the precision of three different alternatives for defining a discrete counterpart to the continuous Gaussian operator. This study is focused on low blur levels, that are crucial for the scale-space accuracy.",
                        "codemeta:identifier": "https://doi.org/10.5201/ipol.2016.117",
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