Abstract
Many years ago researchers (Helmholtz 1925, Gibson 1957) hypothesized that the 3-D motion and the shape of the environment are perceivable from the projected motion arising out of the relative motion between a monocular observer and the scene. In this paper, we summarize our recent computational solution to computing egomotion and show how shape information can be computed robustly.
John K. Tsotsos is the Canadian Pacific Fellow of the Canadian Institute for Advanced Research. This work was supported by the Natural Sciences and Engineering Research Council and through the Information Technology Research Center, a Province of Ontario Center of Excellence. The range data used in this paper came from the Range Image Database of NRC Canada.
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© 1992 Springer Science+Business Media New York
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da Lobo, N.V., Tsotsos, J.K. (1992). Computing Egomotion and Shape from Image Motion Using Collinear Points. In: Arcelli, C., Cordella, L.P., di Baja, G.S. (eds) Visual Form. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0715-8_18
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DOI: https://doi.org/10.1007/978-1-4899-0715-8_18
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