@inproceedings{6bf870686878461a983b4683ee6eebd7,
title = "Spectral analysis driven sparse matching of 3D shapes",
abstract = "In this work we present an approach for matching three-dimensional mesh objects related by isometric transformations and scaling. We propose to utilize the Scale invariant Scale-DoG detector and Local Depth SIFT mesh descriptor, to derive a statistical voting-based scheme to robustly estimate the scale ratio between the registered meshes. This paves the way to formulating a novel non-rigid mesh registration scheme, by matching sets of sparse salient feature points using spectral graph matching. The resulting approach is shown to compare favorably with previous state-of-the-art approaches in registering meshes related by partial alignment, while being a few orders of magnitude faster.",
author = "Tal Darom and Yosi Keller",
year = "2012",
doi = "10.2312/3DOR/3DOR12/059-062",
language = "الإنجليزيّة",
isbn = "9783905674361",
series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",
pages = "59--62",
booktitle = "EG 3DOR 2012 - Eurographics 2012 Workshop on 3D Object Retrieval",
note = "5th Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2012 ; Conference date: 13-05-2012 Through 13-05-2012",
}