DocumentCode :
260922
Title :
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
Link To Document :
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