Plane Detection in Point Cloud Data

Michael Ying Yang, Wolfgang Förstner

Research output: Working paper

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Abstract

Plane detection is a prerequisite to a wide variety of vision tasks. RANdomSAmple Consensus (RANSAC) algorithm is widely used for plane detectionin point cloud data. Minimum description length (MDL) principle is used todeal with several competing hypothesis. This paper presents a new approachto the plane detection by integrating RANSAC and MDL. The method couldavoid detecting wrong planes due to the complex geometry of the 3D data.The paper tests the performance of proposed method on both synthetic andreal data.
Original languageUndefined
Place of PublicationBonn
PublisherUniversity of Bonn
Pages1-16
Number of pages16
Publication statusPublished - 2010

Publication series

NameIGG : Technical Report
PublisherInstitute of Geodesy and Geoinformation (IGG)
Volume1, 2010

Cite this

Yang, M. Y., & Förstner, W. (2010). Plane Detection in Point Cloud Data. (pp. 1-16). (IGG : Technical Report ; Vol. 1, 2010). Bonn: University of Bonn.