Abstract
The problem of computer vision that we consider in this paper may be sumMarized as follows. We have a rigid body which rotates and Translates with constant angular and linear velocities respectively. The velocities are assumed to be unknown. The vision problem is to identify these unknown parameters (hereafter referred to as motion parameters) by observing the perspective projections of the moving object on a screen. Typically however, the motion parameters are identified not from the projection of the entire object but possibly from the projections of certain features on the object. In this paper, such a feature is considered to be a straight line or a planar polynomial curve of degree 2. Other possibilities can be treated analogously.
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© 1991 Springer Science+Business Media New York
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Ghosh, B.K., Wu, Y.T. (1991). Observability of Perspective Systems a New Approach to Computer Vision. In: Bowers, K., Lund, J. (eds) Computation and Control II. Progress in Systems and Control Theory, vol 11. Birkhäuser, Boston, MA. https://doi.org/10.1007/978-1-4612-0427-5_9
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DOI: https://doi.org/10.1007/978-1-4612-0427-5_9
Publisher Name: Birkhäuser, Boston, MA
Print ISBN: 978-0-8176-3611-1
Online ISBN: 978-1-4612-0427-5
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