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Journal Articles The International Journal of Robotics Research Year : 2010

Real-time Quadrifocal Visual Odometry

Abstract

This paper describes a new image-based approach to tracking the 6 degrees of freedom trajectory of a stereo camera pair using a corresponding reference image pair whilst simultaneously determining pixel matching between onsecutive images in a sequence. A dense minimisation approach is employed which directly uses all grey-scale information available within the stereo pair (or stereo region) leading to very robust and precise results. Metric 3d structure constraints are imposed by consistently warping corresponding stereo images to generate novel viewpoints at each stereo acquisition. An iterative non-linear trajectory estimation approach is formulated based on a quadrifocal relationship between the image intensities with adjacent views of the stereo pair. A robust M-estimation technique is used to reject outliers corresponding to moving objects within the scene or other outliers such as occlusions and illumination changes. The technique is applied to recovering the trajectory of a moving vehicle in long and difficult sequences of images.
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Dates and versions

hal-00766839 , version 1 (19-12-2012)

Identifiers

Cite

Andrew I. Comport, Ezio Malis, Patrick Rives. Real-time Quadrifocal Visual Odometry. The International Journal of Robotics Research, 2010, 29 (2), pp.245-266. ⟨10.1177/0278364909356601⟩. ⟨hal-00766839⟩
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