In this talk I will present geometrical computer vision from its early beginnings in projective geometry and photogrammetry to new research on methods in algebraic geometry. In the talk I will give examples of theory for minimal structure and motion problems (central and non-central cameras, ID and 2D retina), critical configurations and geometry in general as well as practical results of using such theory in 3D reconstruction, navigation, modelling and image interpretation. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Åström, K. (2005). Geometrical computer vision from chasles to today. In Lecture Notes in Computer Science (Vol. 3540, pp. 182–183). Springer Verlag. https://doi.org/10.1007/11499145_20
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