Paper
12 September 2011 2D-3D registration using intensity gradients
Prakash Duraisamy, Yassine Belkhouche, Stephen Jackson, Kamesh Namuduri, Bill Buckles
Author Affiliations +
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Prakash Duraisamy, Yassine Belkhouche, Stephen Jackson, Kamesh Namuduri, and Bill Buckles "2D-3D registration using intensity gradients", Proc. SPIE 8137, Signal and Data Processing of Small Targets 2011, 813702 (12 September 2011); https://doi.org/10.1117/12.894288
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Cameras

LIDAR

3D modeling

3D image processing

Calibration

Image segmentation

Image registration

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