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]
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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
|Deposited By:||Professor Bryan Scotney|
|Deposited On:||23 May 2011 15:48|
|Last Modified:||23 May 2011 15:48|
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