Vertical line-based descriptor for omnidirectional view image

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

doi:10.1109/ELINFOCOM.2014.6914386

Vertical line-based descriptor for omnidirectional view image

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

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	2014 International Conference on Electronics, Information and Communications (ICEIC)
Publisher	IEEE
ISBN (Electronic)	9781479939428
DOIs	https://doi.org/10.1109/ELINFOCOM.2014.6914386
Publication status	Published - 2 Oct 2014
Event	13th International Conference on Electronics, Information, and Communication 2014 - Kota Kinabalu, Malaysia Duration: 15 Jan 2014 → 18 Jan 2014

Conference

Conference	13th International Conference on Electronics, Information, and Communication 2014
Abbreviated title	ICEIC 2014
Country/Territory	Malaysia
City	Kota Kinabalu
Period	15/01/14 → 18/01/14

Keywords

Camera
Computer Vision
Descriptor
Omnidirectional Sensor

ASJC Scopus subject areas

Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/ELINFOCOM.2014.6914386

Cite this

@inproceedings{d556f6a18ec64b5ea2f4496db2383659,

title = "Vertical line-based descriptor for omnidirectional view image",

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.",

keywords = "Camera, Computer Vision, Descriptor, Omnidirectional Sensor",

author = "Chong, \{Nguan Soon\} and Wong, \{M. L. Dennis\} and Kho, \{Yau Hee\}",

year = "2014",

month = oct,

day = "2",

doi = "10.1109/ELINFOCOM.2014.6914386",

language = "English",

booktitle = "2014 International Conference on Electronics, Information and Communications (ICEIC)",

publisher = "IEEE",

address = "United States",

note = "13th International Conference on Electronics, Information, and Communication 2014, ICEIC 2014 ; Conference date: 15-01-2014 Through 18-01-2014",

}

TY - GEN

T1 - Vertical line-based descriptor for omnidirectional view image

AU - Chong, Nguan Soon

AU - Wong, M. L. Dennis

AU - Kho, Yau Hee

PY - 2014/10/2

Y1 - 2014/10/2

N2 - 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.

AB - 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.

KW - Camera

KW - Computer Vision

KW - Descriptor

KW - Omnidirectional Sensor

UR - https://www.scopus.com/pages/publications/84910093425

U2 - 10.1109/ELINFOCOM.2014.6914386

DO - 10.1109/ELINFOCOM.2014.6914386

M3 - Conference contribution

AN - SCOPUS:84910093425

BT - 2014 International Conference on Electronics, Information and Communications (ICEIC)

PB - IEEE

T2 - 13th International Conference on Electronics, Information, and Communication 2014

Y2 - 15 January 2014 through 18 January 2014

ER -

Vertical line-based descriptor for omnidirectional view image

Abstract

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this