Title :
Robust place recognition using local appearance based methods
Author :
Dudek, Gregory ; Jugessur, Deeptiman
Author_Institution :
Centre for Intelligent Machines, McGill Univ., Montreal, Que., Canada
Abstract :
We present an approach to the automatic recognition of locations or landmarks using single camera images. Our approach is to learn visual features in the appearance domain that can be used to characterize an object or a location. These features are defined statistically and then are recognized using principal components in the frequency domain. We show that this technique can be used to recognize specific objects on varying backgrounds, as well as environmental features
Keywords :
frequency-domain analysis; image recognition; principal component analysis; robot vision; PCA; frequency domain; landmark recognition; local appearance based methods; location characterization; location recognition; object characterization; principal component analysis; robust place recognition; single camera images; Frequency domain analysis; Image recognition; Layout; Mobile robots; Robot sensing systems; Robot vision systems; Robustness; Sensor phenomena and characterization; Smart cameras; Testing;
Conference_Titel :
Robotics and Automation, 2000. Proceedings. ICRA '00. IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-5886-4
DOI :
10.1109/ROBOT.2000.844735
