Characterising Range Image Features via Gradient Operators

SA Coleman, S Suganthan, BW Scotney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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.
LanguageEnglish
Title of host publicationUnknown Host Publication
Pages629-634
Number of pages6
DOIs
Publication statusPublished - Sep 2007
EventIEEE International Conference on Image Analysis and Processing (ICIAP 2007) - Modena, Italy
Duration: 1 Sep 2007 → …

Conference

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

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Spatial distribution
Computer vision
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Keywords

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

Cite this

Coleman, SA ; Suganthan, S ; Scotney, BW. / Characterising Range Image Features via Gradient Operators. Unknown Host Publication. 2007. pp. 629-634
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Coleman, SA, Suganthan, S & Scotney, BW 2007, Characterising Range Image Features via Gradient Operators. in Unknown Host Publication. pp. 629-634, IEEE International Conference on Image Analysis and Processing (ICIAP 2007), 1/09/07. https://doi.org/10.1109/ICIAP.2007.4362847

Characterising Range Image Features via Gradient Operators. / Coleman, SA; Suganthan, S; Scotney, BW.

Unknown Host Publication. 2007. p. 629-634.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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