Coleman, SA, Scotney, BW and Suganthan, S (2007) Feature Extraction on Range Images – A New Approach. In: IEEE International Conference on Robotics and Automation, Rome. IEEE RAS. 6 pp. [Conference contribution]
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Range images can provide an almost 3-dimensional description of a scene. Feature driven segmentation of range images has been primarily used for 3D object recognition, and hence the accuracy of the detected features is a prominent issue. Feature extraction on range images has proven to be a more complex problem than on intensity images due to both the irregular distribution of range image data and the nature of the features that are present in range images. Approaches to range image feature extraction are often scan line based approximations that carry a significant computational overhead and hence are not appropriate for real-time processing. This paper presents a design procedure for scalable first order derivative operators that can be used directly on irregularly distributed data. Hence the method is appropriate for direct use on range image data without the requirement of image preprocessing and could form the basis of algorithms of real-time robotic applications.
|Item Type:||Conference contribution (Paper)|
|Keywords:||range images, feature extraction|
|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 > Intelligent Systems Research Centre|
Computer Science Research Institute
Computer Science Research Institute > Information and Communication Engineering
|Deposited By:||Professor Bryan Scotney|
|Deposited On:||23 May 2011 14:42|
|Last Modified:||23 May 2011 14:42|
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