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Characterising Range Image Features via Gradient Operators

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) Characterising Range Image Features via Gradient Operators. In: IEEE International Conference on Image Analysis and Processing (ICIAP 2007), Modena, Italy. IEEE Computer Society. 6 pp. [Conference contribution]

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DOI: 10.1109/ICIAP.2007.4362847

Abstract

Real-time extraction of features from range images can play an important role in computer vision tasks such as localisation and navigation. Developing operators that can characterise features in a range image, such as jump, crease, or smooth edges, is challenging, due to both the irregular spatial distribution of range image data and the nature of the features themselves. We present adaptive gradient operators that can automatically change shape to accommodate irregular data distribution; through appropriate analysis of the output responses, we show that the operators can also be specialised to characterise particular types of range image features.

Item Type:Conference contribution (Paper)
Keywords:adaptive gradient operator , irregular data distribution , range image features , real-time 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
Computer Science Research Institute > Information and Communication Engineering
Computer Science Research Institute > Intelligent Systems Research Centre
ID Code:6846
Deposited By:Professor Bryan Scotney
Deposited On:23 May 2011 15:45
Last Modified:23 May 2011 15:45

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