Feature Tracking on Omnidirectional Images for Robot Navigation

Here a novel method for robustly tracking vertical features taken by omnidirectional images is developed. Matching robustness is achieved by means of a feature descriptor which is invariant to rotation and slight changes of illumination.


D. Scaramuzza, R. Siegwart, and A. Martinelli. A Robust Descriptor for Tracking Vertical Lines in Omnidirectional Images and its Use in Mobile Robotics. International Journal on Robotics Research, Volume 28, issue 2, February, 2009. [ PDF ] [Matlab code]
D. Scaramuzza, C. Pradalier, R. Siegwart. Performance Evaluation of a Vertical Line Descriptor for Omnidirectional Images. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2008), Nice, France, September 2008. [ PDF ]
D. Scaramuzza, N. Criblez, A. Martinelli, R. Siegwart. Robust Feature Extraction and Matching for Omnidirectional Images. Field and Service Robotics, Springer Tracts in Advanced Robotics Volume 42, pp 71-81, 2007. [ PDF ]