Vertical line-based descriptor for omnidirectional view image

Nguan Soon Chong, M. L. Dennis Wong, Yau Hee Kho

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

1 Citation (Scopus)

Abstract

Catadioptric omnidirectional view sensor has a convenient 360 degree field of view that favours various robotic applications. The distortion nature in omnidirectional view images allows the discovery of a new robust image feature in the form of vertical/central propagating lines. In this paper, we proposed an improvement to the existing vertical line detection algorithm using Haar wavelet transform under integral image environment. Subsequently, a new lightweight descriptor scheme is developed using the same Haar wavelet response that complies with the nature of line features.

Original languageEnglish
Title of host publication2014 International Conference on Electronics, Information and Communications (ICEIC)
PublisherIEEE
ISBN (Electronic)9781479939428
DOIs
Publication statusPublished - 2 Oct 2014
Event13th International Conference on Electronics, Information, and Communication 2014 - Kota Kinabalu, Malaysia
Duration: 15 Jan 201418 Jan 2014

Conference

Conference13th International Conference on Electronics, Information, and Communication 2014
Abbreviated titleICEIC 2014
CountryMalaysia
CityKota Kinabalu
Period15/01/1418/01/14

Keywords

  • Camera
  • Computer Vision
  • Descriptor
  • Omnidirectional Sensor

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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