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Content archived on 2024-05-07

Application of complete affine invariants and pose determination for 3d intensity data, in geometric problems of 3d computer vision

Objective



We deal with the problem of designing algorithms for automatic recognition of threedimensional objects by digital machines. Our approach is the formation of numerical features which remain invariant with respect to viewpoint changes.
Within a HCM fellowship recently carried out, we could improve in several directions existing results for the special case of 3D intensity images (completeness, independence and orthogonality of the invariants). We propose applying these results to geometric problems of 3D Computer Vision. It is expected that our approach will minimize the requirements for projection views and search for corresponding points in several instances of geometric 3D Computer Vision.

Fields of science (EuroSciVoc)

Programme(s)

Topic(s)

Call for proposal

Data not available

Funding Scheme

RGI - Research grants (individual fellowships)

Coordinator

Technische Universität Hamburg-Harburg
EU contribution
No data
Address
20,Hamburger Schloßstraße 20
21071 Hamburg
Germany
Total cost
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Participants (1)