Title :
Object set matching with an evolutionary algorithm
Author :
Buck, Andrew R. ; Keller, James M. ; Skubic, Marjorie ; Detyniecki, Marcin ; Baerecke, Thomas
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Missouri, Columbia, MO, USA
Abstract :
In this paper, we present an improved evolutionary method for the task of locating a group of buildings based solely on their relative spatial relationships. This problem arises in the general text-to-sketch problem of conflating a hand or machine drafted sketch of building locations to a satellite image. We use the histograms of forces to capture the relative position information between buildings and develop a method to compare building sets. This represents an extension to our previous work, allowing for larger placement perturbations and changes in orientation.
Keywords :
evolutionary computation; image matching; terrain mapping; building locations; evolutionary algorithm; general text-to-sketch problem; hand-drafted sketch; machine-drafted sketch; object set matching; placement perturbations; satellite image; Biological cells; Buildings; Evolutionary computation; Gravity; Histograms; Search problems; evolutionary algorithm; histograms of forces; object set matching; text-to-sketch;
Conference_Titel :
Computational Intelligence for Security and Defense Applications (CISDA), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-4244-9939-7
DOI :
10.1109/CISDA.2011.5945949