Suganthan, S, Coleman, SA and Scotney, BW (2010) Using Dihedral Angles for Edge Extraction in Range Data. Journal of Mathematical Imaging and Vision. , 38 (2). pp. 108-118. [Journal article]
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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 feature extraction has been identified as a mechanism to produce a more compact scene representation, in particular using features such as edges and surfaces, and hence enables less costly scene interpretation for applications such as object recognition and robot navigation. We present an approach to edge 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 visual results are also provided.
|Item Type:||Journal article|
|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:||Dr Sonya Coleman|
|Deposited On:||31 Aug 2010 06:31|
|Last Modified:||15 Jun 2011 11:08|
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