Vertical line-based descriptor for omnidirectional view image

Author

Nguan Soon Chong ; Wong, M.L.D. ; Yau Hee Kho

Author_Institution

Swinburne Univ. of Technol., Kuching, Malaysia

fYear

2014

fDate

15-18 Jan. 2014

Firstpage

1

Lastpage

4

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

Haar transforms; edge detection; feature extraction; image sensors; mobile robots; object detection; robot vision; wavelet transforms; Haar wavelet transform; catadioptric omnidirectional view sensor; field-of-view; integral image environment; omnidirectional view image; robotic applications; robust image feature discovery; vertical line detection algorithm; vertical line-based descriptor; Cameras; Conferences; Image edge detection; Robot vision systems; Robustness; Camera; Computer Vision; Descriptor; Omnidirectional Sensor;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Kota Kinabalu

Type

conf

DOI

10.1109/ELINFOCOM.2014.6914386

Filename

6914386