Motion from point matches: multiplicity of solutions
Author(s) -
Olivier Faugeras,
Steve Maybank
Publication year - 1989
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/3-540-51683-2_30
Subject(s) - computer science , multiplicity (mathematics) , computation , maple , symbolic computation , point (geometry) , motion (physics) , algorithm , theoretical computer science , artificial intelligence , mathematics , geometry , mathematical analysis , botany , biology
The authors study the multiplicity of solutions of the motion problems. Given n point matches between two frames, an effort is made to determine the number of solution to the motion problem. It is shown that the maximum number of solutions is ten when five-point matches are available. Two approaches are used. The first attempts to recover the motion parameters by studying the essential matrix. A natural extension of this is to use algebraic geometry to characterize the set of possible essential matrixes. The authors present some results based on this approach. The second one, based on projective geometry, dates from the previous century. The authors show that the two approaches are compatible and yield the same result. They then describe a computer implementation of the second approach that uses MAPLE, a language for symbolic computation. The program allows the exact computation of the solutions for any configuration of five points
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