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Temporal alignment of 3D video sequences using shape and appearance

Budd, C and Hilton, A (2010) Temporal alignment of 3D video sequences using shape and appearance

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In this paper we present a method to automatically introduce temporal consistency into a sequence of meshes reconstructed from multi-view video. We combine a number of advantages of previous work to produce a robust algorithm. Our approach uses SIFT features in each camera view combined with geometric information to produce accurate frame to frame correspondence. Coupling this with both volumetric and surface laplacian deformation techniques we are able to deform a well reconstructed frame across the 3D video sequence. Although the approach is sequential the combination of appearance and shape matching allows recovery from errors in previous frames or surface reconstruction. © 2010 Crown Copyright.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Divisions : Surrey research (other units)
Authors :
Hilton, A
Date : 1 December 2010
DOI : 10.1109/CVMP.2010.22
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 12:16
Last Modified : 23 Jan 2020 17:44

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