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Feature matching in 360° waveforms for robot navigation
Zhang, Z.   Weiss, R.   Riseman, E.M.  
Dept. of Comput. & Inf. Sci., Massachusetts Univ., Amherst, MA;

This paper appears in: Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
Publication Date: 3-6 Jun 1991
On page(s): 742-743
Meeting Date: 06/03/1991 - 06/06/1991
Location: Maui, HI, USA
ISBN: 0-8186-2148-6
References Cited: 3
INSPEC Accession Number: 4137217
Digital Object Identifier: 10.1109/CVPR.1991.139809
Current Version Published: 2002-08-06

Abstract
A target location is represented by compressing a 360° image from a spherical mirror into a circular waveform. Navigation tasks are specified as a sequence of homing tasks on target locations. This is accomplished by matching landmarks from the current view with the next target view. A method is provided for matching using qualitative geometric features of each of the waveforms. In addition, a geometric analysis allows one to do 3-D reasoning about the environment, which is sufficient for computing the rotation and translation between the current location and the target location. It eventually may allow acquisition of a 3-D model of the environment

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