(Enter summary)
Abstract: This paper describes an algorithm for recognizing
known objects in an unstructured environment (e.g.
landmarks) from measurements acquired with a single
monochrome television camera mounted on a mobile observer.
The approach is based on the concept of an entropy
map, which is used to guide the mobile observer
along an optimal trajectory that minimizes the ambiguity
of recognition as well as the amount of data that must be
gathered. Recognition itself is based on the optical flow
signatures... (Update)
Context of citations to this paper: More
.... is essential for solving shape from motion [6, 16, 13, 42, 46, 54, 70] timeof collision [18] object tracking [51] object recognition [4], and figure ground separation problems. At first glance the problem of 3 D reconstruction from motion images seems trivial as it is...
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BibTeX entry: (Update)
T. Arbel and F. P. Ferrie. Entropy-based gaze planning. In Proceedings of the Second IEEE Workshop on Perception for Mobile Agents, in association with the 1999. http://citeseer.ist.psu.edu/arbel99entropybased.html More
@misc{ arbel99entropybased,
author = "T. Arbel and F. Ferrie",
title = "Entropy-based gaze planning",
text = "T. Arbel and F. P. Ferrie. Entropy-based gaze planning. In Proceedings
of the Second IEEE Workshop on Perception for Mobile Agents, in association
with the 1999.",
year = "1999",
url = "citeseer.ist.psu.edu/arbel99entropybased.html" }
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