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]
Full text not available from this repository.
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
|Deposited By:||Professor Bryan Scotney|
|Deposited On:||23 May 2011 15:45|
|Last Modified:||23 May 2011 15:45|
Repository Staff Only: item control page