NDLI: Creating realistic 3D models from scanners by decoupling geometry and texture

Content Provider	IEEE Xplore Digital Library
Author	Adan, A. Merchan, P. Salamanca, S.
Copyright Year	2012
Description	Author affiliation: Escuela de Ingenierías Industriales. Universidad de Extremadura. Spain (Merchan, P.; Salamanca, S.) \|\| Escuela Superior de Informática. Universidad de Castilla La Mancha. Spain (Adan, A.)
Abstract	To date the methods to create accuracy dense realistic 3D models of outdoors by using laser scanners are highly dependent on the on-site conditions in the very moment of the 3D data collection. Thus, researchers put in a lot of effort on eliminating colour incoherencies (sunny/shady, bright/dark, non sensed areas, etc.) or modelling the light of the scene to obtain free-illumination models. This paper proposes a new strategy that aims to separate the moments in which geometry and colour are taken, making the modelling process independent of the time and external circumstances in the data collection stage, and on-site calibration-free. Our approach is based on matching anytime suitable external images of the scene into the complete 3D geometric model and carrying out an iterative weighted colour mixing algorithm which gradually builds the textured model. The method has been mainly tested in archaeological sites; particularly in rest of ancient Roman buildings, yielding excellent results. Comparison with other commercial solutions is also shown in the paper.
Starting Page	457
Ending Page	460
File Size	564477
Page Count	4
File Format	PDF
ISBN	9781467322164
ISSN	10514651
e-ISBN	9784990644109
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-11
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	ICPR Org Committee
Subject Keyword	Image color analysis Solid modeling Cameras Mathematical model Geometry Equations Computational modeling
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Adaptive Color Curve Models for Image Matting

Modeling and identifying 3-D color textures

Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling

Registration of an uncalibrated image pair to a 3D surface model

An automated and accurate procedure for texture mapping from images

A new method for recognition of 3D object

Understanding Bayesian Rooms Using Composite 3D Object Models

Relative affine structure: canonical model for 3D from 2D geometry and applications

3D reconstruction based on Kinect

Creating realistic 3D models from scanners by decoupling geometry and texture

Similar Documents

Adaptive Color Curve Models for Image Matting

Modeling and identifying 3-D color textures

Kernel Density Estimation Using Joint Spatial-Color-Depth Data for Background Modeling

Registration of an uncalibrated image pair to a 3D surface model

An automated and accurate procedure for texture mapping from images

A new method for recognition of 3D object

Understanding Bayesian Rooms Using Composite 3D Object Models

Relative affine structure: canonical model for 3D from 2D geometry and applications

3D reconstruction based on Kinect

Creating realistic 3D models from scanners by decoupling geometry and texture