A Graph Theoretic Approach to Direct Processing of Sparse Unwarped Panoramic Images

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

3 Citations (Scopus)

Abstract

The use of omnidirectional cameras has had a significant impact on the success of vision systems for video surveillance and autonomous robot navigation. Typically images obtained from such cameras are transformed to sparse panoramic images that are interpolated prior to low level image processing. We present a graph theoretic approach that enables image processing techniques, principally feature extraction, to be performed directly on sparse panoramic images, avoiding the need for image interpolation. We thus aim to reduce the computational overheads of processing images arising from omnidirectional cameras, whilst retaining accuracy sufficient for application to real-time robot vision.
Original languageEnglish
Title of host publicationUnknown Host Publication
PublisherIEEE Signal Processing Society
Pages1557-1560
Number of pages4
ISBN (Print)1-4244-0481-9
DOIs
Publication statusPublished - Oct 2006
EventIEEE International Conference on Image Processing (ICIP 2006) - Atlanta
Duration: 1 Oct 2006 → …

Conference

ConferenceIEEE International Conference on Image Processing (ICIP 2006)
Period1/10/06 → …

Keywords

  • feature extraction
  • sparse images

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