Abstract
In this paper, we study the multiplicity of solutions of the motion problem. Given n point matches between two frames, how many solutions are there to the motion problem? We show that the maximum number of solutions is 10 when 5 point matches are available. This settles a question that has been around in the computer vision community for a while. We follow two tracks.
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• The first one attempts to recover the motion parameters by studying the essential matrix and has been followed by a number of researchers in the field. A natural extension of this is to use algebraic geometry to characterize the set of possible essential matrixes. We present some new results based on this approach.
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• The second question, based on projective geometry, dates from the previous century.
We show that the two approaches are compatible and yield the same result.
We then describe a computer implementation of the second approach that uses MAPLE, a language for symbolic computation. The program allows us to compute exactly the solutions for any configuration of 5 points. Some experiments are described.
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This work was partially supported under ESPRIT contract P940.
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Faugeras, O.D., Maybank, S. Motion from point matches: Multiplicity of solutions. Int J Comput Vision 4, 225–246 (1990). https://doi.org/10.1007/BF00054997
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DOI: https://doi.org/10.1007/BF00054997