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Abstract: In natural images, the distance measure between two images taken at different locations rises smoothly with increasing distance. This fact can be exploited for local visual homing where the task is to reach a goal location which is characterized by a snapshot image. Descending in the image distance will lead the agent to the goal location. To compute an estimate of the spatial gradient in the distance measure, its value has to be sampled at three non-collinear points. An animal or robot would... (Update)
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BibTeX entry: (Update)
@misc{ moller-local,
author = "Ralf M{\"o}ller and Andrew Vardy",
title = "Local Visual Homing by Matched-Filter Descent in Image Distances",
url = "citeseer.ist.psu.edu/748863.html" }
Citations (may not include all citations):502 Performance of optical flow techniques - JL, DJ et al. - 1994
50 Landmark learning in bees (context) - BA, TS - 1983
35 Learning view graphs for robot navigation - MO, olkopf et al. - 1998
22 Where did I take that snapshot (context) - MO, olkopf et al. - 1998
21 A mobile robot employing insect strategies for navigation - Lambrinos, oller et al. - 2000
11 Visual spatial memory in desert ants (context) - Wehner, aber - 1979
11 Facts on optic flow (context) - JJ, AJ - 1987
9 Biomimetic robot navigation - MO, HA - 2000
2 Wide-field (context) - MO, HG - 2000
2 Vision-based homing with a panoramic stereo sensor (context) - urzl, Mallot - 2002
1 Insect-inspired estimation of egomotion (context) - MO, JS et al. - 2004
1 Neural encoding of behaviorally relevant visual-motion infor.. (context) - Egelhaaf - 2002
1 Catchment areas of panoramic images in outdoor scenes (context) - Zeil - 2003
1 Biologically plausible visual homing methods based on optica.. - Vardy, oller - 2005
1 Visual homing without image matching (context) - oller - 2002
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