DocumentCode :
1978118
Title :
Scene matching by spatial relationships
Author :
Sjahputera, Ozy ; Keller, James M. ; Matsakis, Pascal
Author_Institution :
Dept. of Comput. Eng. & Comput. Sci., Missouri Univ., USA
fYear :
2003
fDate :
24-26 July 2003
Firstpage :
149
Lastpage :
154
Abstract :
Scene matching is the process of recognizing two images as different views of the same scene captured using different sensor poses, and/or different types of sensors. In this work, each image contains the same objects and sensor pose parameters are not known. The spatial relationships among objects in the image, calculated using the histogram of forces (F-histogram) method, are used as matching elements. The degree of matching between two matching elements is calculated by comparing their F-histogram representations. Various geometric transformations are applied to the F-histograms during the comparison process to maximize the histogram similarity measure and to estimate the sensor pose parameters. The histogram similarity measure and the estimated sensor pose parameters are used as features in finding the best histogram correspondence map that matches the two images.
Keywords :
image matching; image sensors; parameter estimation; F-histograms; force histogram; geometric transformations; image matching; image recognition; matching elements; scene matching; sensor pose parameter estimation; spatial relationships; Geometry; Histograms; Image recognition; Image sensors; Layout; Morphology; Parameter estimation; Polynomials; Quantization; Sensor phenomena and characterization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Information Processing Society, 2003. NAFIPS 2003. 22nd International Conference of the North American
Print_ISBN :
0-7803-7918-7
Type :
conf
DOI :
10.1109/NAFIPS.2003.1226772
Filename :
1226772
Link To Document :
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