Authors:
Wieme Gadacha
and
Faouzi Ghorbel
Affiliation:
National School of Computer Science, Tunisia
Keyword(s):
3D Rigid Registration, Hausdorff Distance in Shape Space, 3D Parametrisation, Matching, Face Description, Shannon Theorem.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Biometrics
;
Biometrics and Pattern Recognition
;
Feature Selection and Extraction
;
Multimedia
;
Multimedia Signal Processing
;
Pattern Recognition
;
Shape Representation
;
Similarity and Distance Learning
;
Software Engineering
;
Telecommunications
;
Theory and Methods
Abstract:
In this paper, we intend to introduce a fast surface registration process which is independent from the original parameterization of the surface and invariant under 3D rigid transformations. It is based on a feature descriptors correspondence. Such feature descriptors are extracted from the superposition of two surfacic curves: geodesic levels and radial ones from local neighborhoods defined around reference points already picked on the surface. A study of the optimal number of those curves thanks to a generalized version of Shannon theorem is developed. Thus, the obtained discretized parametrisation (ordered descriptors) is the basis of the matching phase that becomes obvious and more robust comparing to the classic ICP algorithm. Experimentations are conducted on facial surfaces from the Bosphorus database to test the registration of both rigid and non-rigid shapes (neutral faces vs. faces with expressions). The Hausdorff distance in shape space is used as an evaluation metric to t
est the robustness to tessellation. The discriminative power in face description is also estimated.
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