Extracting surface textures and microstructures from multipleaerial images
Xiaoguang Wang
Hanson, A.R.
Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA;
This paper appears in: Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Publication Date: 17-19 Jun 1997
On page(s): 301-306
Meeting Date: 06/17/1997 - 06/19/1997
Location: San Juan, Puerto Rico
ISBN: 0-8186-7822-4
References Cited: 10
INSPEC Accession Number: 5644177
Digital Object Identifier: 10.1109/CVPR.1997.609339
Current Version Published: 2002-08-06
Abstract
We present a surface texture and microstructure extraction system
to provide added realism in visualization and virtual reality
applications. The system uses multiple images, 3-D models and camera
information, in addition to knowledge about man-made structures, to cope
with problems such as perspective distortion, data deficiency, and
corruption caused by shadows and occlusions. Combined with the Ascender
site modeling system and scene rendering algorithms, the system is
typically useful for urban site model refinement and visualization
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