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Proceedings Paper

Indoor environment modeling for interactive robot security application
Author(s): Sangwoo Jo; Qonita M. Shahab; Yong-Moo Kwon; Sang Chul Ahn
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Paper Abstract

This paper presents our simple and easy to use method to obtain a 3D textured model. For expression of reality, we need to integrate the 3D models and real scenes. Most of other cases of 3D modeling method consist of two data acquisition devices. One is for getting a 3D model and another for obtaining realistic textures. In this case, the former device would be 2D laser range-finder and the latter device would be common camera. Our algorithm consists of building a measurement-based 2D metric map which is acquired by laser range-finder, texture acquisition/stitching and texture-mapping to corresponding 3D model. The algorithm is implemented with laser sensor for obtaining 2D/3D metric map and two cameras for gathering texture. Our geometric 3D model consists of planes that model the floor and walls. The geometry of the planes is extracted from the 2D metric map data. Textures for the floor and walls are generated from the images captured by two 1394 cameras which have wide Field of View angle. Image stitching and image cutting process is used to generate textured images for corresponding with a 3D model. The algorithm is applied to 2 cases which are corridor and space that has the four walls like room of building. The generated 3D map model of indoor environment is shown with VRML format and can be viewed in a web browser with a VRML plug-in. The proposed algorithm can be applied to 3D model-based remote surveillance system through WWW.

Paper Details

Date Published: 2 October 2006
PDF: 9 pages
Proc. SPIE 6384, Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision, 638409 (2 October 2006); doi: 10.1117/12.685580
Show Author Affiliations
Sangwoo Jo, Korea Institute of Science and Technology (South Korea)
Qonita M. Shahab, Korea Institute of Science and Technology (South Korea)
Yong-Moo Kwon, Korea Institute of Science and Technology (South Korea)
Sang Chul Ahn, Korea Institute of Science and Technology (South Korea)


Published in SPIE Proceedings Vol. 6384:
Intelligent Robots and Computer Vision XXIV: Algorithms, Techniques, and Active Vision
David P. Casasent; Ernest L. Hall; Juha Röning, Editor(s)

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