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Laplacian Operators for Direct Processing of Range Data

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

Coleman, SA, Suganthan, S and Scotney, BW (2007) Laplacian Operators for Direct Processing of Range Data. In: IEEE International Conference on Image Processing (ICIP 2007), San Antonio, Texas. IEEE Signal Processing Society. 4 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/ICIP.2007.4379815

Abstract

The use of range data has become prominent in the field of computer vision. Due to the irregular nature of range data that occurs with a number of sensors, feature extraction is a complex and challenging problem. Feature extraction techniques for range images are often based on scan line data approximations and hence do not employ exact data locations. We present a finite element based approach to the development of Laplacian operators that can be applied to both regularly or irregularly distributed range data. We demonstrate that the feature maps generated using our approach on range data are much less susceptible to noise than the traditional use of Laplacian operators on intensity images.

Item Type:Conference contribution (Paper)
Keywords:Edge detection , Laplacian operators , Range Images
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:6848
Deposited By:Professor Bryan Scotney
Deposited On:23 May 2011 15:48
Last Modified:23 May 2011 15:48

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