A self-consistency technique for fusing 3D information

This paper describes a robust method for recovering an optimal DEM and its variance from multiple, randomly orientated views of a surface. The method generates a set of DEM tiles in a common coordinate system from multiple overlapping images, and then employs the concept of self-consistency to detec...

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Bibliographic Details
Main Authors: Schultz, H., Hanson, A.R., Riseman, E.M., Stolle, F.R., Zhigang Zhu, Woo Dong-Min
Format: Conference Proceeding
Language:English
Subjects:
Computer science
Data mining
Image matching
Layout
Pixel
Resource management
Robustness
Surface cleaning
Testing
Tiles
Online Access:Request full text
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Summary:This paper describes a robust method for recovering an optimal DEM and its variance from multiple, randomly orientated views of a surface. The method generates a set of DEM tiles in a common coordinate system from multiple overlapping images, and then employs the concept of self-consistency to detect and remove errors from the tiles. The clean tiles are averaged together to form a low noise composite DEM. The method is tested on real and photo realistic simulated data. Results show that the method is capable of producing a virtually error free composite DEM.
DOI:10.1109/ICIF.2002.1020936