CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Intrinsic Textures for Relightable Free-Viewpoint Video
Authors
A. Bousseau
C. Zitnick
+12 more
E.H. Land
G. Li
H.P.A. Lensch
J. Starck
J. Starck
J.Y. Guillemaut
M.F. Tappen
N. Ahmed
P.F. Felzenszwalb
R. Ramamoorthi
S. Vedula
T. Kanade
Publication date
1 January 2014
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
This paper presents an approach to estimate the intrinsic texture properties (albedo, shading, normal) of scenes from multiple view acquisition under unknown illumination conditions. We introduce the concept of intrinsic textures, which are pixel-resolution surface textures representing the intrinsic appearance parameters of a scene. Unlike previous video relighting methods, the approach does not assume regions of uniform albedo, which makes it applicable to richly textured scenes. We show that intrinsic image methods can be used to refine an initial, low-frequency shading estimate based on a global lighting reconstruction from an original texture and coarse scene geometry in order to resolve the inherent global ambiguity in shading. The method is applied to relighting of free-viewpoint rendering from multiple view video capture. This demonstrates relighting with reproduction of fine surface detail. Quantitative evaluation on synthetic models with textured appearance shows accurate estimation of intrinsic surface reflectance properties. © 2014 Springer International Publishing
Similar works
Full text
Open in the Core reader
Download PDF
Available Versions
University of Surrey
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:alma.44SUR_INST:1114013132...
Last time updated on 01/08/2022
CiteSeerX
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:CiteSeerX.psu:10.1.1.674.5...
Last time updated on 29/10/2017
Surrey Research Insight
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:surrey.eprints-hosting.org...
Last time updated on 16/05/2021
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1007%2F978-3-319-1...
Last time updated on 01/04/2019