Local Visual Homing by Warping of Two-Dimensional Images

Möller R (2009)
Robotics and Autonomous Systems 57(1): 87-101.

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Zeitschriftenaufsatz | Veröffentlicht | Englisch
Abstract / Bemerkung
Local visual homing methods can be used in the context of topological maps to travel between neighboring locations. These methods take two images as input and produce a home vector that points from the vantage point of one image to that of the other. "Warping" [M.O. Franz, B. Scholkopf, H.A. Mallot, H.H. Bulthoff, Where did I take that snapshot? Scene-based homing by image matching, Biological Cybernetics 79 (3) (1998) 191-202] is an attractive homing method since it does not require an external compass. Here we describe how the performance of warping can be substantially improved by extending the method from one- to two-dimensional images, with only a moderate increase ill the computational effort. Experiments on several image databases confirm the improved performance. (c) 2008 Elsevier B.V. All rights reserved.
Erscheinungsjahr
Zeitschriftentitel
Robotics and Autonomous Systems
Band
57
Zeitschriftennummer
1
Seite
87-101
ISSN
PUB-ID

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Möller R. Local Visual Homing by Warping of Two-Dimensional Images. Robotics and Autonomous Systems. 2009;57(1):87-101.
Möller, R. (2009). Local Visual Homing by Warping of Two-Dimensional Images. Robotics and Autonomous Systems, 57(1), 87-101. doi:10.1016/j.robot.2008.02.001
Möller, R. (2009). Local Visual Homing by Warping of Two-Dimensional Images. Robotics and Autonomous Systems 57, 87-101.
Möller, R., 2009. Local Visual Homing by Warping of Two-Dimensional Images. Robotics and Autonomous Systems, 57(1), p 87-101.
R. Möller, “Local Visual Homing by Warping of Two-Dimensional Images”, Robotics and Autonomous Systems, vol. 57, 2009, pp. 87-101.
Möller, R.: Local Visual Homing by Warping of Two-Dimensional Images. Robotics and Autonomous Systems. 57, 87-101 (2009).
Möller, Ralf. “Local Visual Homing by Warping of Two-Dimensional Images”. Robotics and Autonomous Systems 57.1 (2009): 87-101.