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Single-step Planar Surface Extraction from Range Images

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

Suganthan, S, Coleman, SA and Scotney, BW (2008) Single-step Planar Surface Extraction from Range Images. In: 4th International Symposium on 3D Data Processing, Visualization and Transmission (3DPVT 2008), Atlanta, USA. UNSPECIFIED. 8 pp. [Conference contribution]

Full text not available from this repository.

URL: http://www.cc.gatech.edu/conferences/3DPVT08/Program/Papers/paper187.pdf

Abstract

The volume of raw range image data that is required to represent just a single scene can be extensive; hence direct interpretation of range images can incur a very high computational cost. Range image segmentation and feature extraction have been identified as mechanisms to produce more compact scene representations and hence enable less costly scene interpretation for applications such as object recognition and robot navigation. We present a new approach to multi-scale edge and planar surface detection in range images that can be used directly with any range data, regardless of whether the data have regular or irregular spatial distribution. The approach is evaluated with respect to accuracy of both edge location and planar surface representation. The contribution of our approach is that only a single application of our operator is necessary to both extract object edges and determine representations of the corresponding planar object surfaces.

Item Type:Conference contribution (Paper)
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
Research Institutes and Groups:Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:6851
Deposited By:Professor Bryan Scotney
Deposited On:20 Jan 2010 15:41
Last Modified:15 Jun 2011 11:07

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