Characterising Range Image Features via Gradient Operators

SA Coleman; S Suganthan; BW Scotney

doi:10.1109/ICIAP.2007.4362847

Characterising Range Image Features via Gradient Operators

SA Coleman, S Suganthan, BW Scotney

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Unknown Host Publication
Publisher	IEEE Computer Society
Pages	629-634
Number of pages	6
DOIs	https://doi.org/10.1109/ICIAP.2007.4362847
Publication status	Published (in print/issue) - Sept 2007
Event	IEEE International Conference on Image Analysis and Processing (ICIAP 2007) - Modena, Italy Duration: 1 Sept 2007 → …

Conference

Conference	IEEE International Conference on Image Analysis and Processing (ICIAP 2007)
Period	1/09/07 → …

Keywords

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

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10.1109/ICIAP.2007.4362847

Cite this

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title = "Characterising Range Image Features via Gradient Operators",

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.",

keywords = "adaptive gradient operator, irregular data distribution, range image features, real-time feature extraction",

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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.

KW - adaptive gradient operator

KW - irregular data distribution

KW - range image features

KW - real-time feature extraction

U2 - 10.1109/ICIAP.2007.4362847

DO - 10.1109/ICIAP.2007.4362847

M3 - Conference contribution

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T2 - IEEE International Conference on Image Analysis and Processing (ICIAP 2007)

Y2 - 1 September 2007

ER -

Characterising Range Image Features via Gradient Operators

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Keywords

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