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ICPR
2000
IEEE

Recursive Factorization Method for the Paraperspective Model Based on the Perspective Projection

9 years 7 months ago
Recursive Factorization Method for the Paraperspective Model Based on the Perspective Projection
The factorization method, which allows us to reconstruct the motion of the camera and shape of the object simultaneously from multiple images, provides high stability in numerical computations and satisfactory results. To apply this method to real-time processing, the recursive factorization method has been proposed. However, factorization method based on the affine projection has a limitation in reconstruction accuracy, and to achieve accurate reconstruction, the motion should be restricted. To overcome this problem, we present a recursive factorization method for the paraperspective model based on the perspective projection. The present method is far superior to other ones, in that it not only achieves accurate Euclidean reconstruction in a short time but also provides high stability in numerical computations. Moreover, the method produces stable reconstruction in almost all cases even if some images contain errors because all images are treated as uniformly as possible.
Jun Fujiki, Takeshi Kurata
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2000
Where ICPR
Authors Jun Fujiki, Takeshi Kurata
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