DocumentCode
3313391
Title
Vanishing point detection based on slope trend for omnidirectional vision-based robot localization
Author
Jun-Yu Yang ; Feng-Li Lian
Author_Institution
Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear
2013
fDate
4-7 Aug. 2013
Firstpage
1063
Lastpage
1068
Abstract
This paper proposes one novel method to detect vanishing points in indoor environment. The original environmental data are from a standard omnidirectional camera equipped on one mobile robot. The orientation information in the panoramic image captured by the omnidirectional camera is computed by any standard edge detection, and further analyzed by the proposed slope trend approach. Related experimental studies in different scenarios are performed to demonstrate the feasibility of the approach.
Keywords
cameras; edge detection; mobile robots; path planning; robot vision; environmental data; indoor environment; mobile robot; omnidirectional vision-based robot localization; orientation information; panoramic image capturing; slope trend approach; standard edge detection; standard omnidirectional camera; vanishing point detection; Cameras; Filtering; Gaussian mixture model; Image edge detection; Market research; Robot vision systems; Omnidirectional camera; panorama; slope trend; vanishing points;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location
Takamatsu
Print_ISBN
978-1-4673-5557-5
Type
conf
DOI
10.1109/ICMA.2013.6618062
Filename
6618062
Link To Document