Local Visual Homing by Warping of Two-Dimensional Images

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

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Journal Article | Original Article | Published | English

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Abstract / Notes
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.
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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.
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