loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Roberto Lam and J. M. Hans du Buf

Affiliation: Universidade do Algarve, Portugal

Keyword(s): 3D Shape matching, Volumetric models, Manifold meshes.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Information Extraction ; Knowledge Discovery and Information Retrieval ; Knowledge-Based Systems ; Mining High-Dimensional Data ; Mining Multimedia Data ; Symbolic Systems

Abstract: With the increasing use of 3D objects and models, mining of 3D databases is becoming an important issue. However, 3D object recognition is very time consuming because of variations due to position, rotation, size and mesh resolution. A fast categorisation can be used to discard non-similar objects, such that only few objects need to be compared in full detail. We present a simple method for characterising 3D objects with the goal of performing a fast similarity search in a set of polygonal mesh models. The method constructs, for each object, two sets of multi-scale signatures: (a) the progression of deformation due to iterative mesh smoothing and, similarly, (b) the influence of mesh dilation and erosion using a sphere with increasing radius. The signatures are invariant to 3D translation, rotation and scaling, also to mesh resolution because of proper normalisation. The method was validated on a set of 31 complex objects, each object being represented with three mesh resolutions. Th e results were measured in terms of Euclidian distance for ranking all objects, with an overall average ranking rate of 1.29. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 54.210.224.114

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Lam, R. and M. Hans du Buf, J. (2009). INVARIANT CATEGORISATION OF POLYGONAL OBJECTS USING MULTI-RESOLUTION SIGNATURES. In Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR; ISBN 978-989-674-011-5; ISSN 2184-3228, SciTePress, pages 168-173. DOI: 10.5220/0002301401680173

@conference{kdir09,
author={Roberto Lam. and J. {M. Hans du Buf}.},
title={INVARIANT CATEGORISATION OF POLYGONAL OBJECTS USING MULTI-RESOLUTION SIGNATURES},
booktitle={Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR},
year={2009},
pages={168-173},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002301401680173},
isbn={978-989-674-011-5},
issn={2184-3228},
}

TY - CONF

JO - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval (IC3K 2009) - KDIR
TI - INVARIANT CATEGORISATION OF POLYGONAL OBJECTS USING MULTI-RESOLUTION SIGNATURES
SN - 978-989-674-011-5
IS - 2184-3228
AU - Lam, R.
AU - M. Hans du Buf, J.
PY - 2009
SP - 168
EP - 173
DO - 10.5220/0002301401680173
PB - SciTePress