Seamless Montage for Texturing Models

We present an automatic method to recover high‐resolution texture over an object by mapping detailed photographs onto its surface. Such high‐resolution detail often reveals inaccuracies in geometry and registration, as well as lighting variations and surface reflections. Simple image projection resu...

Full description

Saved in:
Bibliographic Details
Published in:Computer graphics forum Vol. 29; no. 2; pp. 479 - 486
Main Authors: Gal, Ran, Wexler, Yonatan, Ofek, Eyal, Hoppe, Hugues, Cohen-Or, Daniel
Format: Journal Article
Language:English
Published: Oxford, UK Blackwell Publishing Ltd 01.05.2010
Subjects:
Algorithms
and texture
Automation
Computer graphics
Customization
I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Color
I.3.7 [Computer Graphics]: Three‐Dimensional Graphics and Realism—Color, shading, shadowing, and texture
Image processing systems
Mathematical models
Seams
Searching
shading
shadowing
Surface layer
Texture
ISSN:0167-7055, 1467-8659
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We present an automatic method to recover high‐resolution texture over an object by mapping detailed photographs onto its surface. Such high‐resolution detail often reveals inaccuracies in geometry and registration, as well as lighting variations and surface reflections. Simple image projection results in visible seams on the surface. We minimize such seams using a global optimization that assigns compatible texture to adjacent triangles. The key idea is to search not only combinatorially over the source images, but also over a set of local image transformations that compensate for geometric misalignment. This broad search space is traversed using a discrete labeling algorithm, aided by a coarse‐to‐fine strategy. Our approach significantly improves resilience to acquisition errors, thereby allowing simple and easy creation of textured models for use in computer graphics.
Bibliography:istex:BADB45D283A51EBCBB9D729A72EBEABDA18EF3D9
ark:/67375/WNG-35J1K3KW-1
ArticleID:CGF1617
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ObjectType-Article-2
content type line 23
ISSN:0167-7055
1467-8659
DOI:10.1111/j.1467-8659.2009.01617.x