View-based Shape Similarity using Mutual Information Spheres
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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a new method for computing the shape similarity between 3D polygonal models using an informationtheoretic viewpoint selection framework. Given a 3D model, a sphere of viewpoints surrounding this model is used to obtain its shape signature from the mutual information of each viewpoint. This signature represents the essence of the shape from a view-based approach. Then, in order to quantify the dissimilarity between two models, their mutual information spheres are registered by minimizing the L2 distance between them. Several experiments show the discrimination capabilities of our approach and its potential suitability for object recognition.
Description
@inproceedings{10.2312:egs.20071024,
booktitle = {EG Short Papers},
editor = {Paolo Cignoni and Jiri Sochor},
title = {{View-based Shape Similarity using Mutual Information Spheres}},
author = {García, Francisco González and Feixas, Miquel and Sbert, Mateu},
year = {2007},
publisher = {The Eurographics Association},
ISBN = {},
DOI = {10.2312/egs.20071024}
}