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Proceedings Paper

2D-3D registration using intensity gradients
Author(s): Prakash Duraisamy; Yassine Belkhouche; Stephen Jackson; Kamesh Namuduri; Bill Buckles
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Paper Abstract

This papers explores the use of an error metric based on intensity gradients in an automatic camera pose recovery method for 2D-3D image registration. The method involves extraction of lines from the 3D image and then uses intensity gradients to register these onto the 2D image. This approach have overcome the limitations of matching the features to register the 2D-3D images. The goal of our algorithm is to estimate pose parameters without any apriori knowledge (GPS) and in less processing time. We demonstrated the validity of our approach by experimenting on perspective view using lines as feature.

Paper Details

Date Published: 12 September 2011
PDF: 6 pages
Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 813702 (12 September 2011); doi: 10.1117/12.894288
Show Author Affiliations
Prakash Duraisamy, Univ. of North Texas (United States)
Yassine Belkhouche, Univ. of North Texas (United States)
Stephen Jackson, Univ. of North Texas (United States)
Kamesh Namuduri, Univ. of North Texas (United States)
Bill Buckles, Univ. of North Texas (United States)

Published in SPIE Proceedings Vol. 8137:
Signal and Data Processing of Small Targets 2011
Oliver E. Drummond, Editor(s)

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