Surface Signature-Based Method for Modeling and Recognizing Free-Form Objects

In this paper we propose a new technique for modeling three-dimensional rigid objects by encoding the fluctuation of the surface and the variation of its normal around an oriented surface point, as the surface expands. The surface of the object is encoded into three vectors as the surface signature...

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Bibliographic Details
Published inAdvances in Visual Computing pp. 447 - 458
Main Authors Darbandi, H. B., Ito, M. R., Little, J.
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesLecture Notes in Computer Science
Subjects
Alignment Error
Machine Intelligence
Object Recognition
Orientation Signature
Test Object
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Summary:In this paper we propose a new technique for modeling three-dimensional rigid objects by encoding the fluctuation of the surface and the variation of its normal around an oriented surface point, as the surface expands. The surface of the object is encoded into three vectors as the surface signature on each point, and then the collection of signatures is used to model and match the object. The signatures encode the curvature, symmetry, and convexity of the surface around an oriented point. This modeling technique is robust to scale, orientation, sampling resolution, noise, occlusion, and cluttering.
ISBN:9783540768555
3540768556
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-76856-2_44