Extracting surface textures and microstructures from multiple aerial images

Author

Wang, Xiaoguang ; Hanson, Allen R.

Author_Institution

Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA

fYear

1997

fDate

17-19 Jun 1997

Firstpage

301

Lastpage

306

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

Keywords

data visualisation; feature extraction; image representation; image texture; realistic images; rendering (computer graphics); solid modelling; virtual reality; 3D models; Ascender site modeling system; camera information; corruption; data deficiency; man-made structures; microstructure extraction system; multiple aerial images; occlusions; perspective distortion; realism; scene rendering algorithms; shadows; surface texture extraction; urban site model refinement; virtual reality; visualization; Buildings; Cameras; Data mining; Data visualization; Facial animation; Microstructure; Rendering (computer graphics); Solid modeling; Surface texture; Virtual reality;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on

Conference_Location

San Juan

ISSN

1063-6919

Print_ISBN

0-8186-7822-4

Type

conf

DOI

10.1109/CVPR.1997.609339

Filename

609339