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Retrieving articulated 3-D models using medial surfaces and their graph spectra
Conference proceeding   Open access   Peer reviewed

Retrieving articulated 3-D models using medial surfaces and their graph spectra

JUAN Zhang, Kaleem Siddiqi, Diego Macrini, Ali Shokoufandeh and Sven Dickinson
Energy Minimization Methods in Computer Vision and Pattern Recognition, v 3757, pp 285-300
2005
DOI: https://doi.org/10.1007/11585978_19
url
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.60.217View
SubmittedOpen Access (License Unspecified),  Open

Abstract

Artificial intelligence Computer science; control theory; systems Exact sciences and technology Pattern recognition. Digital image processing. Computational geometry Applied Sciences
We consider the use of medial surfaces to represent symmetries of 3-D objects. This allows for a qualitative abstraction based on a directed acyclic graph of components and also a degree of invariance to a variety of transformations including the articulation and deformation of parts. We demonstrate the use of this representation for both indexing and matching 3-D object models. Our formulation uses the geometric information associated with each node along with an eigenvalue labeling of the adjacency matrix of the subgraph rooted at that node. We present comparative results against the techniques of shape distributions [17] and harmonic spheres [12] on a database of 320 models representing 13 object classes. The results demonstrate that medial surface based graph matching significantly outperforms these techniques for objects with articulating parts.

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23 citations in Web of Science
48 citations in Scopus

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Domestic collaboration
International collaboration
Web of Science research areas
Computer Science, Artificial Intelligence
Computer Science, Theory & Methods
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