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Published Articles >> Table of Contents >> Abstract
15th International Conference on Pattern Recognition (ICPR'00) - Volume 3
p. 3988
Detection of Natural Landmarks through Multiscale Opponent Features
Eduardo Todt, Institut de Robòtica i Informàtica Industrial
Carme Torras, Institut de Robòtica i Informàtica Industrial
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2000.903708
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This work presents a landmark detection system for a walking robot, which has to operate in unknown unstructured outdoor environments. Most landmark detection approaches are not adequate for this application, since they rely on either structured information or a priori knowledge about the landmarks. Instead, the proposed system makes use of visual saliency concepts stemming from studies of animal and human perception. Thus, biologically inspired opponent features (in color and orientation) are searched for at different resolution levels. The implementation, however, does not try to mimic nature, but rather to be as computationally efficient as possible. Thus, salient image regions ranging from relatively small to big sizes are detected using multiscale comparison techniques, based on pyramidal filtering. The experimental results obtained show that visual saliency permits detecting reliable natural landmarks without a priori knowledge about their characteristics or location.
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 Additional Information
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Citation:
Eduardo Todt, Carme Torras,
"Detection of Natural Landmarks through Multiscale Opponent Features,"
icpr,
p. 3988,
15th International Conference on Pattern Recognition (ICPR'00) - Volume 3,
2000
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