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Publication type: Article in Proceedings
Author: Thomas Röfer
Editor: Ubbo Visser, Fernando Ribeiro, Takeshi Ohashi, Frank Dellaert
Title: Region-Based Segmentation with Ambiguous Color Classes and 2-D Motion Compensation
Book / Collection title: RoboCup 2007: Robot Soccer World Cup XI
Volume: 5001
Page(s): 369 – 376
Series: Lecture Notes in Artificial Intelligence
Year published: 2008
Publisher: Springer
Abstract: This paper presents a new approach for color segmentation, in which colors are not only mapped to unambiguous but also to ambiguous color classes. The ambiguous color classes are resolved based on their unambiguous neighbors in the image. In contrast to other approaches, the neighborhood is determined on the level of regions, not on the level of pixels. Thereby, large regions with ambiguous color classes can be resolved. The method is fast enough to run on a Sony AIBO in real time (30 Hz), leaving enough resources for the other tasks that have to be performed to play soccer. In addition, the paper discusses the problem of motion compensation, ie reversing the effects of a rolling shutter on the images taken by a moving camera.
PDF Version: http://www.informatik.uni-bremen.de/kogrob/papers/RC-Roefer-08.pdf
Status: Reviewed
Last updated: 06. 11. 2013

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