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Kevin Köser Geometric Estimation with Local Affine Frames and Free-form Surfaces ISBN: 978-3-8322-8250-9 Price: 48,80 € / 97,60 SFR |
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This thesis deals with the problem of feature matching between images. It presents three main contributions. First, the author derives a representation of the local affine frame around a feature. Whereas classical feature matching algorithms use only the feature position, the local affine frame allows to use additional geometric information in the matching process. The second contribution is the resolution of specific problems using these primitives (for example camera pose computation from a single primitive to model correspondence). The author also gives a minimal parameterization of the conjugate rotations and a practical algorithm to estimate the conjugate rotation from a local affine frame correspondence. Finally, the author presents an efficient camera tracking system with the use of graphics processing units. The originality of this method is the representation of the tracked object as a free form textured surface.
Reviewer: Jean Th. Lapresté (Aubière) |
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Source: Zentralblatt MATH | |
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