Title :
A geometrical-based trinocular vision system for edges reconstruction
Author :
Hemayed, Elsayed E. ; Farag, Aly A.
Author_Institution :
Dept. of Electr. Eng., Louisville Univ., KY, USA
Abstract :
We present a trinocular stereo vision technique that can be used to build a fast, robust description of indoor objects. The proposed technique utilizes the geometrical constraints of the trinocular vision system and considers the uncertainty of image measurements. The technique has been successfully applied to several indoor scenes. The reliability and speed of the proposed system make it particularly suitable for real-time applications such as robot navigation
Keywords :
geometry; image matching; image reconstruction; stereo image processing; edges reconstruction; geometrical constraints; geometrical-based trinocular vision system; image measurements uncertainty; indoor objects; indoor scenes; real-time applications; reliability; robot navigation; robust description; speed; trinocular stereo vision technique; Cameras; Computer vision; Image reconstruction; Layout; Machine vision; Measurement uncertainty; Real time systems; Robot vision systems; Robustness; Stereo vision;
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
DOI :
10.1109/ICIP.1998.723338
