Characterising Range Image Features via Gradient Operators

SA Coleman, S Suganthan, BW Scotney

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)


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.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Computer Society
Number of pages6
Publication statusPublished (in print/issue) - Sept 2007
EventIEEE International Conference on Image Analysis and Processing (ICIAP 2007) - Modena, Italy
Duration: 1 Sept 2007 → …


ConferenceIEEE International Conference on Image Analysis and Processing (ICIAP 2007)
Period1/09/07 → …


  • adaptive gradient operator
  • irregular data distribution
  • range image features
  • real-time feature extraction


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