loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Faraj Alhwarin ; Stefan Schiffer ; Alexander Ferrein and Ingrid Scholl

Affiliation: Mobile Autonomous Systems & Cognitive Robotics Institute (MASCOR), Germany

Keyword(s): Optimized KinectFusion, Body Scanner, 3D Reconstruction.

Abstract: KinectFusion is an effective way to reconstruct indoor scenes. It takes a depth image stream and uses the iterative closests point (ICP) method to estimate the camera motion. Then it merges the images in a volume to construct a 3D model. The model accuracy is not satisfactory for certain applications such as scanning a human body to provide information about bone structure health. For one reason, camera noise and noise in the ICP method limit the accuracy. For another, the error in estimating the global camera poses accumulates. In this paper, we present a method to optimize KinectFusion for 3D scanning in the above scenarios. We aim to reduce the noise influence on camera pose tracking. The idea is as follows: in our application scenarios we can always assume that either the camera rotates around the object to be scanned or that the object rotates in front of the camera. In both cases, the relative camera/object pose is located on a 3D-circle. Therefore, camera motion can b e described as a rotation around a fixed axis passing through a fixed point. Since the axis and the center of rotation are always fixed, the error averaging principle can be utilized to reduce the noise impact and hence to enhance the 3D model accuracy of scanned object. (More)

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 3.137.178.133

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:
Alhwarin, F.; Schiffer, S.; Ferrein, A. and Scholl, I. (2018). Optimized KinectFusion Algorithm for 3D Scanning Applications. In Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOIMAGING; ISBN 978-989-758-278-3; ISSN 2184-4305, SciTePress, pages 50-57. DOI: 10.5220/0006594700500057

@conference{bioimaging18,
author={Faraj Alhwarin. and Stefan Schiffer. and Alexander Ferrein. and Ingrid Scholl.},
title={Optimized KinectFusion Algorithm for 3D Scanning Applications},
booktitle={Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOIMAGING},
year={2018},
pages={50-57},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006594700500057},
isbn={978-989-758-278-3},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2018) - BIOIMAGING
TI - Optimized KinectFusion Algorithm for 3D Scanning Applications
SN - 978-989-758-278-3
IS - 2184-4305
AU - Alhwarin, F.
AU - Schiffer, S.
AU - Ferrein, A.
AU - Scholl, I.
PY - 2018
SP - 50
EP - 57
DO - 10.5220/0006594700500057
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic