Long Range Stereo from Synchronized Monocular Optical Flow Streamss

Darius Burschka

Abstract

We present a processing technique for a robust reconstruction of motion properties for single points in large scale, dynamic environments. We assume that the acquisition camera is moving and that there are other independently moving agents in a large environment, like road scenarios. The separation of direction and magnitude of the reconstructed motion allows for robust reconstruction of the dynamic state of the objects in situations, where conventional binocular systems fail due to a small signal (disparity) from the images due to a constant detection error, and where structure from motion approaches fail due to unobserved motion of other agents between the camera frames.

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DOI

10.5244/C.31.159
https://dx.doi.org/10.5244/C.31.159

Citation

Darius Burschka. Long Range Stereo from Synchronized Monocular Optical Flow Streamss. In T.K. Kim, S. Zafeiriou, G. Brostow and K. Mikolajczyk, editors, Proceedings of the British Machine Vision Conference (BMVC), pages 159.1-159.10. BMVA Press, September 2017.

Bibtex

            @inproceedings{BMVC2017_159,
                title={Long Range Stereo from Synchronized Monocular Optical Flow Streamss},
                author={Darius Burschka},
                year={2017},
                month={September},
                pages={159.1-159.10},
                articleno={159},
                numpages={10},
                booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
                publisher={BMVA Press},
                editor={Tae-Kyun Kim, Stefanos Zafeiriou, Gabriel Brostow and Krystian Mikolajczyk},
                doi={10.5244/C.31.159},
                isbn={1-901725-60-X},
                url={https://dx.doi.org/10.5244/C.31.159}
            }