Title :
A self-consistency technique for fusing 3D information
Author :
Schultz, Howard ; Hanson, Allen R. ; Riseman, Edward M. ; Stolle, Frank R. ; Zhu, Zhigang ; Dong-Min, Woo
Author_Institution :
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA
Abstract :
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.
Keywords :
image matching; optical radar; sensor fusion; stereo image processing; DEM extraction; DEM tiles; composite DEM; consistency; errors; multi-view stereo; multiple overlapping images; optimal DEM; photogrammetry; resource management; variance; Computer science; Data mining; Image matching; Layout; Pixel; Resource management; Robustness; Surface cleaning; Testing; Tiles;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1020936
