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Accurate object reconstruction by statistical moments

Accurate object reconstruction by statistical moments
Accurate object reconstruction by statistical moments
Statistical moments can offer a powerful means for object description in object sequences. Moments used in this way provide a description of the changing shape of the object with time. Using these descriptions to predict temporal views of the object requires efficient and accurate reconstruction of the object from a limited set of moments, but accurate reconstruction from moments has as yet received only limited attention. We show how we can improve accuracy not only by consideration of formulation, but also by a new adaptive thresholding technique that removes one parameter needed in reconstruction. Both approaches are equally applicable for Legendre and other orthogonal moments to improve accuracy in reconstruction.
Moments, Object Description, COmputer Vision, Gait
1-5
Prismall, Stuart P.
eda1076c-f8cd-457b-85fb-a432f88c6695
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da
Prismall, Stuart P.
eda1076c-f8cd-457b-85fb-a432f88c6695
Nixon, Mark S.
2b5b9804-5a81-462a-82e6-92ee5fa74e12
Carter, John N.
e05be2f9-991d-4476-bb50-ae91606389da

Prismall, Stuart P., Nixon, Mark S. and Carter, John N. (2003) Accurate object reconstruction by statistical moments. VIE 2003, United Kingdom. pp. 1-5 .

Record type: Conference or Workshop Item (Paper)

Abstract

Statistical moments can offer a powerful means for object description in object sequences. Moments used in this way provide a description of the changing shape of the object with time. Using these descriptions to predict temporal views of the object requires efficient and accurate reconstruction of the object from a limited set of moments, but accurate reconstruction from moments has as yet received only limited attention. We show how we can improve accuracy not only by consideration of formulation, but also by a new adaptive thresholding technique that removes one parameter needed in reconstruction. Both approaches are equally applicable for Legendre and other orthogonal moments to improve accuracy in reconstruction.

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More information

Published date: 2003
Venue - Dates: VIE 2003, United Kingdom, 2003-01-01
Keywords: Moments, Object Description, COmputer Vision, Gait
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 258448
URI: http://eprints.soton.ac.uk/id/eprint/258448
PURE UUID: 8ff412d5-5c07-465b-9683-57918f5600bb
ORCID for Mark S. Nixon: ORCID iD orcid.org/0000-0002-9174-5934

Catalogue record

Date deposited: 05 Nov 2003
Last modified: 30 Jan 2020 01:24

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