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Range Image Feature Extraction with Varying Degrees of Data Irregularity

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

Suganthan, S, Coleman, SA and Scotney, BW (2007) Range Image Feature Extraction with Varying Degrees of Data Irregularity. In: International Machine Vision and Image Processing Conference (IMVIP 2007), Maynooth, Ireland. IEEE Computer Society. 8 pp. [Conference contribution]

Full text not available from this repository.

DOI: 10.1109/IMVIP.2007.15

Abstract

The use of range images has become prominent in the field of computer vision. Due to the irregular nature of range image data that occurs with a number of sensors, edge detection 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 gradient operators that can be applied to both regularly and irregularly distributed range images. We have created synthetic irregularly distributed range images for each edge type, and the gradient operators developed are evaluated with respect to their performance in edge detection across varying levels of data irregularity.

Item Type:Conference contribution (Paper)
Keywords:edge detection , feature extraction , finite element analysis , gradient methods
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:6839
Deposited By:Professor Bryan Scotney
Deposited On:23 May 2011 15:44
Last Modified:23 May 2011 15:44

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