Normalization of a 3D-Shape Similarity Measure with Voxel Representation

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Auteur principal: Ramón M. Rodríguez Dagnino
Format: Artículo científico
Langue:en
Publié: Instituto Politécnico Nacional 2007
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author Ramón M. Rodríguez Dagnino
author_facet Ramón M. Rodríguez Dagnino
contents Normalization of a 3D-Shape Similarity Measure with Voxel Representation Ramón M. Rodríguez Dagnino Hermilo Sánchez Cruz Computación compactness transforming positive voxels Similarity measure In this paper we study some properties of 3D objects such as compactness, the work done in object transformations and the number of voxels to be moved in order to normalize a similarity measure of an appropriate set of 3D objects. Voxel representation and scale normalization allow us to find the total distance of a set of voxels from one object to another. For these purposes, the comparison of objects is achieved by superimposing their centers of mass, using principal axes for their orientation, and Hungarian algorithm for optimal matching in bipartite graphs. All these aspects are determinant in obtaining the minimum work that needs to be done in the corresponding transformations. We present experimental results by including irregular objects taken from the human body. 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61509704 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.10
format Artículo científico
id redalyc_61509704
institution Redalyc
language en
publishDate 2007
publisher Instituto Politécnico Nacional
spellingShingle Normalization of a 3D-Shape Similarity Measure with Voxel Representation
Ramón M. Rodríguez Dagnino
Computación
compactness
transforming
positive voxels
Similarity measure
Normalization of a 3D-Shape Similarity Measure with Voxel Representation Ramón M. Rodríguez Dagnino Hermilo Sánchez Cruz Computación compactness transforming positive voxels Similarity measure In this paper we study some properties of 3D objects such as compactness, the work done in object transformations and the number of voxels to be moved in order to normalize a similarity measure of an appropriate set of 3D objects. Voxel representation and scale normalization allow us to find the total distance of a set of voxels from one object to another. For these purposes, the comparison of objects is achieved by superimposing their centers of mass, using principal axes for their orientation, and Hungarian algorithm for optimal matching in bipartite graphs. All these aspects are determinant in obtaining the minimum work that needs to be done in the corresponding transformations. We present experimental results by including irregular objects taken from the human body. 2007 artículo científico 1405-5546 https://www.redalyc.org/articulo.oa?id=61509704 en http://www.redalyc.org/revista.oa?id=615 Computación y Sistemas application/pdf Instituto Politécnico Nacional Computación y Sistemas (México) Num.4 Vol.10
title Normalization of a 3D-Shape Similarity Measure with Voxel Representation
topic Computación
compactness
transforming
positive voxels
Similarity measure
url https://www.redalyc.org/articulo.oa?id=61509704