[IPOL announce] new preprint: Integral Images for Block Matching

[announcements about the IPOL journal]

A new preprint is available in IPOL: http://www.ipol.im/pub/pre/57/

Integral Images for Block Matching
by Gabriele Facciolo, Nicolas Limare and Enric Meinhardt-Llopis

Abstract
The integral image representation is a remarkable idea that permits to 
evaluate the sum of image values over rectangular regions of the image 
with four operations, regardless of the size of the region.
It was first proposed under the name of summed area table in the 
computer graphics community by Crow'84, in order to efficiently filter 
texture maps. It was later popularized in the computer vision community 
by Viola & Jones'04 with its use in their real-time object detection 
framework.
In this article we describe the integral image algorithm and study its 
application in the context of block matching.
We investigate tradeoffs and the limits of the performance gain with 
respect to exhaustive block matching.



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