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Natural image matting for multiple wide-baseline views

Sarim, M, Hilton, A, Guillemaut, Jean-Yves, Takai, T and Kim, Hansung (2010) Natural image matting for multiple wide-baseline views In: Proc. International Conference on Image Processing (ICIP 2010), 2010-09-26 - 2010-09-29, Hong Kong.

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Abstract

In this paper we present a novel approach to estimate the alpha mattes of a foreground object captured by a widebaseline circular camera rig provided a single key frame trimap. Bayesian inference coupled with camera calibration information are used to propagate high confidence trimaps labels across the views. Recent techniques have been developed to estimate an alpha matte of an image using multiple views but they are limited to narrow baseline views with low foreground variation. The proposed wide-baseline trimap propagation is robust to inter-view foreground appearance changes, shadows and similarity in foreground/background appearance for cameras with opposing views enabling high quality alpha matte extraction using any state-of-the-art image matting algorithm.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Vision Speech and Signal Processing
Authors :
NameEmailORCID
Sarim, MUNSPECIFIEDUNSPECIFIED
Hilton, AUNSPECIFIEDUNSPECIFIED
Guillemaut, Jean-YvesJ.Guillemaut@surrey.ac.ukUNSPECIFIED
Takai, TUNSPECIFIEDUNSPECIFIED
Kim, HansungH.Kim@surrey.ac.ukUNSPECIFIED
Date : 3 December 2010
Identification Number : 10.1109/ICIP.2010.5651610
Copyright Disclaimer : Copyright 2010 IEEE.Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 15:00
Last Modified : 11 Aug 2017 13:27
URI: http://epubs.surrey.ac.uk/id/eprint/111018

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