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
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;
Conference_Titel :
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-5557-5
DOI :
10.1109/ICMA.2013.6618062