[IPOL announce] new article: Computing an Exact Gaussian Scale-Space

[announcements about the IPOL journal]

A new article is available in IPOL: http://www.ipol.im/pub/art/2016/117/

Ives Rey Otero, and Mauricio Delbracio,
Computing an Exact Gaussian Scale-Space,
Image Processing On Line, 6 (2016), pp. 8–26.
http://dx.doi.org/10.5201/ipol.2016.117

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.