Heat Diffusion Approach for Feature-based Body Scans Analysis

Lovato, Christian; Zancanaro, C.; Castellani, Umberto; Giachetti, Andrea

Heat Diffusion Approach for Feature-based Body Scans Analysis

Files

033-040.pdf (333.44 KB)

Date

2011

Authors

Lovato, Christian
Zancanaro, C.
Castellani, Umberto
Giachetti, Andrea

Publisher

The Eurographics Association

Abstract

In this paper we propose the use of spectral shape analysis techniques for selection and classification of anthro- pometric points extracted from human-body scans. Few feature points are detected by exploiting the capability of heat diffusion process in capturing the extremities of surface protrusions which are often related to anthropometric landmarks. Then, a heat kernel signature is computed for each feature point which are associated to its seman- tic group by employing a learning-by-example procedure exploiting manual point labeling provided by an expert anthropometrist. Detected points are not clearly the same precise anatomical locations used in standard anthro- pometric procedures, but their matching can be useful for different applications like automatic model registration or simple body type evaluation. Experimental tests carried out on several subjects with different anthropometric characteristics show encouraging results demonstrating the potential usefulness of the approach as well as the necessity of further investigation on point description and matching.

        @inproceedings{10.2312:3DOR/3DOR11/033-040
,
booktitle = {Eurographics Workshop on 3D Object Retrieval
},
editor = {H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp
},
title = {{Heat Diffusion Approach for Feature-based Body Scans Analysis
}},
author = {Lovato, Christian and 
Zancanaro, C. and 
Castellani, Umberto and 
Giachetti, Andrea
},
year = {2011
},
publisher = {The Eurographics Association
},
ISSN = {1997-0463
},
ISBN = {978-3-905674-31-6
},
DOI = {10.2312/3DOR/3DOR11/033-040
}
}