Range Image Feature Extraction using a Hexagonal Pixel-based Framework

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

Abstract

Research to date within the area of range image processing has highlighted the many advantages of using range data to represent scenes in a 3-D manner. However, given the large volume of data associated with range images, processing and extracting relevant information from these images has presented a challenge. Due to the irregular distribution of data in many range image types, a resampling process is required to map the irregular data to a regular grid structure, providing an opportunity to resample directly to a uniform hexagonal framework. This paper therefore proposes a novel framework for range image feature extraction, which utilises the efficiency and accuracy of the hexagonal pixel- based framework.
LanguageEnglish
Title of host publicationUnknown Host Publication
Number of pages4
Publication statusPublished - Aug 2015
EventIrish Machine Vision and Image Processing Conference 2015 - Trinity College, Dublin, Ireland .
Duration: 1 Aug 2015 → …

Conference

ConferenceIrish Machine Vision and Image Processing Conference 2015
Period1/08/15 → …

Fingerprint

Feature extraction
Image processing
Pixels

Keywords

  • Hexagonal Framework
  • Range Images
  • Feature Extraction.

Cite this

@inproceedings{cd632fdb22e848cdb15d69dfa1ce654a,
title = "Range Image Feature Extraction using a Hexagonal Pixel-based Framework",
abstract = "Research to date within the area of range image processing has highlighted the many advantages of using range data to represent scenes in a 3-D manner. However, given the large volume of data associated with range images, processing and extracting relevant information from these images has presented a challenge. Due to the irregular distribution of data in many range image types, a resampling process is required to map the irregular data to a regular grid structure, providing an opportunity to resample directly to a uniform hexagonal framework. This paper therefore proposes a novel framework for range image feature extraction, which utilises the efficiency and accuracy of the hexagonal pixel- based framework.",
keywords = "Hexagonal Framework, Range Images, Feature Extraction.",
author = "B Gardiner and SA Coleman",
year = "2015",
month = "8",
language = "English",
isbn = "978-0-9934207-0-2",
booktitle = "Unknown Host Publication",

}

Gardiner, B & Coleman, SA 2015, Range Image Feature Extraction using a Hexagonal Pixel-based Framework. in Unknown Host Publication. Irish Machine Vision and Image Processing Conference 2015, 1/08/15.

Range Image Feature Extraction using a Hexagonal Pixel-based Framework. / Gardiner, B; Coleman, SA.

Unknown Host Publication. 2015.

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

TY - GEN

T1 - Range Image Feature Extraction using a Hexagonal Pixel-based Framework

AU - Gardiner, B

AU - Coleman, SA

PY - 2015/8

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N2 - Research to date within the area of range image processing has highlighted the many advantages of using range data to represent scenes in a 3-D manner. However, given the large volume of data associated with range images, processing and extracting relevant information from these images has presented a challenge. Due to the irregular distribution of data in many range image types, a resampling process is required to map the irregular data to a regular grid structure, providing an opportunity to resample directly to a uniform hexagonal framework. This paper therefore proposes a novel framework for range image feature extraction, which utilises the efficiency and accuracy of the hexagonal pixel- based framework.

AB - Research to date within the area of range image processing has highlighted the many advantages of using range data to represent scenes in a 3-D manner. However, given the large volume of data associated with range images, processing and extracting relevant information from these images has presented a challenge. Due to the irregular distribution of data in many range image types, a resampling process is required to map the irregular data to a regular grid structure, providing an opportunity to resample directly to a uniform hexagonal framework. This paper therefore proposes a novel framework for range image feature extraction, which utilises the efficiency and accuracy of the hexagonal pixel- based framework.

KW - Hexagonal Framework

KW - Range Images

KW - Feature Extraction.

M3 - Conference contribution

SN - 978-0-9934207-0-2

BT - Unknown Host Publication

ER -