Motion-sensitive anchor identification of least-squares meshes from examples

This source preferred by Jian Jun Zhang and Richard Southern

Authors: Southern, R. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/17794/

http://www.computer.org/portal/web/csdl/doi/10.1109/TVCG.2010.95

Journal: IEEE Transactions on Visualization and Computer Graphics

Volume: 17

Pages: 850-856

ISSN: 1077-2626

DOI: 10.1109/TVCG.2010.95

A least–squares mesh is a surface representation consisting of a small set of anchor points and the differential and topological properties of the surface. In this paper we present a novel method to identify motion sensitive anchor points for least–squares meshes from a set of examples. We present a new method called clustered teleconnection analysis to identify the maximally excited points in a subset of basis vectors deduced using principle component analysis. We demonstrate by means of examples that our approach has a smaller reconstruction error and equivalent performance to the current best approaches.

This data was imported from PubMed:

Authors: Southern, R. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/17794/

Journal: IEEE Trans Vis Comput Graph

Volume: 17

Issue: 6

Pages: 850-856

eISSN: 1941-0506

DOI: 10.1109/TVCG.2010.95

A least-squares mesh is a surface representation consisting of a small set of anchor points and the differential and topological properties of the surface. In this paper, we present a novel method to identify motion-sensitive anchor points for least-squares meshes from a set of examples. We present a new method, called clustered teleconnection analysis, to identify the maximally excited points in a subset of basis vectors deduced using principal component analysis. We demonstrate by means of examples that our approach has a smaller reconstruction error and equivalent performance to the current best approaches.

This data was imported from DBLP:

Authors: Southern, R. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/17794/

Journal: IEEE Trans. Vis. Comput. Graph.

Volume: 17

Pages: 850-856

DOI: 10.1109/TVCG.2010.95

This data was imported from Scopus:

Authors: Southern, R. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/17794/

Journal: IEEE Transactions on Visualization and Computer Graphics

Volume: 17

Issue: 6

Pages: 850-856

ISSN: 1077-2626

DOI: 10.1109/TVCG.2010.95

A least-squares mesh is a surface representation consisting of a small set of anchor points and the differential and topological properties of the surface. In this paper, we present a novel method to identify motion-sensitive anchor points for least-squares meshes from a set of examples. We present a new method, called clustered teleconnection analysis, to identify the maximally excited points in a subset of basis vectors deduced using principal component analysis. We demonstrate by means of examples that our approach has a smaller reconstruction error and equivalent performance to the current best approaches. © 2011 IEEE.

This data was imported from Web of Science (Lite):

Authors: Southern, R. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/17794/

Journal: IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS

Volume: 17

Issue: 6

Pages: 850-856

eISSN: 1941-0506

ISSN: 1077-2626

DOI: 10.1109/TVCG.2010.95

This data was imported from Europe PubMed Central:

Authors: Southern, R. and Zhang, J.J.

http://eprints.bournemouth.ac.uk/17794/

Journal: IEEE transactions on visualization and computer graphics

Volume: 17

Issue: 6

Pages: 850-856

eISSN: 1941-0506

ISSN: 1077-2626

A least-squares mesh is a surface representation consisting of a small set of anchor points and the differential and topological properties of the surface. In this paper, we present a novel method to identify motion-sensitive anchor points for least-squares meshes from a set of examples. We present a new method, called clustered teleconnection analysis, to identify the maximally excited points in a subset of basis vectors deduced using principal component analysis. We demonstrate by means of examples that our approach has a smaller reconstruction error and equivalent performance to the current best approaches.

The data on this page was last updated at 05:10 on February 17, 2020.