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
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