DocumentCode :
2463092
Title :
Localization using combinations of model views
Author :
Basri, Ronen ; Rivlin, Ehud
Author_Institution :
Dept. of Appl. Math, Weizmann Inst. of Sci., Rehovot, Israel
fYear :
1993
fDate :
11-14 May 1993
Firstpage :
226
Lastpage :
230
Abstract :
A method for localization, the act of recognizing the environment, is presented. The method is based on representing the scene as a set of 2-D views and predicting the appearances of novel views by linear combinations of the model views. The method accurately approximates the appearance of scenes under weak perspective projection. Analysis of this projection as well as experimental results demonstrate that in many cases this approximation is sufficient to accurately describe the scene. When weak perspective approximation is invalid, either a larger number of models can be acquired or an iterative solution to account for the perspective distortions can be used. The method has several advantages over other approaches. It uses relatively rich representations; the representations are 2-D rather than 3-D; and localization can be done from only a single 2-D view
Keywords :
computer vision; iterative methods; mobile robots; path planning; pattern recognition; 2-D views; combinations of model views; iterative solution; linear combinations; localization; weak perspective approximation; weak perspective projection; Automation; Educational institutions; Error analysis; Image recognition; Layout; Navigation; Predictive models; Robot kinematics; Robot sensing systems; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 1993. Proceedings., Fourth International Conference on
Conference_Location :
Berlin
Print_ISBN :
0-8186-3870-2
Type :
conf
DOI :
10.1109/ICCV.1993.378215
Filename :
378215
Link To Document :
بازگشت