loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Minh Hoang Nguyen ; Burkhard Wünsche ; Patrice Delmas and Christof Lutteroth

Affiliation: The University of Auckland, New Zealand

ISBN: 978-989-8425-45-4

Keyword(s): Structure-from-Motion, Image modelling, Fundamental matrix, RANSAC, SIFT, Image-based modelling, Surface reconstruction.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Geometry and Modeling ; Image-Based Modeling ; Pattern Recognition ; Scene and Object Modeling ; Software Engineering

Abstract: We address the problem of reconstructing 3D scenes from a set of unconstrained images. These image sequences can be acquired by a video camera or handheld digital camera without requiring calibration. Our approach does not require any a priori information about the cameras being used. The camera's motion and intrinsic parameters are all unknown. We use a novel combination of advanced computer vision algorithms for feature detection, feature matching, and projection matrix estimation in order to reconstruct a 3D point cloud representing the location of geometric features estimated from input images. In a second step a full 3D model is reconstructed using the projection matrix and a triangulation process. We demonstrate with data sets of different structures obtained under different weather conditions that our algorithm is stable and enables inexperienced users to easily create complex 3D content using a simple consumer level camera.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.85.214.0

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Nguyen, M.; Wünsche, B.; Delmas, P. and Lutteroth, C. (2011). REALISTIC 3D SCENE RECONSTRUCTION FROM UNSCONSTRAINED AND UNCALIBRATED IMAGES TAKEN WITH A HANDHELD CAMERA.In Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2011) ISBN 978-989-8425-45-4, pages 67-75. DOI: 10.5220/0003376900670075

@conference{grapp11,
author={Minh Hoang Nguyen. and Burkhard Wünsche. and Patrice Delmas. and Christof Lutteroth.},
title={REALISTIC 3D SCENE RECONSTRUCTION FROM UNSCONSTRAINED AND UNCALIBRATED IMAGES TAKEN WITH A HANDHELD CAMERA},
booktitle={Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2011)},
year={2011},
pages={67-75},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003376900670075},
isbn={978-989-8425-45-4},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Graphics Theory and Applications - Volume 1: GRAPP, (VISIGRAPP 2011)
TI - REALISTIC 3D SCENE RECONSTRUCTION FROM UNSCONSTRAINED AND UNCALIBRATED IMAGES TAKEN WITH A HANDHELD CAMERA
SN - 978-989-8425-45-4
AU - Nguyen, M.
AU - Wünsche, B.
AU - Delmas, P.
AU - Lutteroth, C.
PY - 2011
SP - 67
EP - 75
DO - 10.5220/0003376900670075

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.