MoReLab: A Software for User-Assisted 3D Reconstruction

We present MoReLab, a tool for user-assisted 3D reconstruction. This reconstruction requires an understanding of the shapes of the desired objects. Our experiments demonstrate that existing Structure from Motion (SfM) software packages fail to estimate accurate 3D models in low-quality videos due to...

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Main Authors: Arslan Siddique, Francesco Banterle, Massimiliano Corsini, Paolo Cignoni, Daniel Sommerville, Chris Joffe
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/14/6456
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author Arslan Siddique
Francesco Banterle
Massimiliano Corsini
Paolo Cignoni
Daniel Sommerville
Chris Joffe
author_facet Arslan Siddique
Francesco Banterle
Massimiliano Corsini
Paolo Cignoni
Daniel Sommerville
Chris Joffe
author_sort Arslan Siddique
collection DOAJ
description We present MoReLab, a tool for user-assisted 3D reconstruction. This reconstruction requires an understanding of the shapes of the desired objects. Our experiments demonstrate that existing Structure from Motion (SfM) software packages fail to estimate accurate 3D models in low-quality videos due to several issues such as low resolution, featureless surfaces, low lighting, etc. In such scenarios, which are common for industrial utility companies, user assistance becomes necessary to create reliable 3D models. In our system, the user first needs to add features and correspondences manually on multiple video frames. Then, classic camera calibration and bundle adjustment are applied. At this point, MoReLab provides several primitive shape tools such as rectangles, cylinders, curved cylinders, etc., to model different parts of the scene and export 3D meshes. These shapes are essential for modeling industrial equipment whose videos are typically captured by utility companies with old video cameras (low resolution, compression artifacts, etc.) and in disadvantageous lighting conditions (low lighting, torchlight attached to the video camera, etc.). We evaluate our tool on real industrial case scenarios and compare it against existing approaches. Visual comparisons and quantitative results show that MoReLab achieves superior results with regard to other user-interactive 3D modeling tools.
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spelling doaj.art-5a4965ee1b194cb0b0063e1cea0c10782023-11-18T21:17:59ZengMDPI AGSensors1424-82202023-07-012314645610.3390/s23146456MoReLab: A Software for User-Assisted 3D ReconstructionArslan Siddique0Francesco Banterle1Massimiliano Corsini2Paolo Cignoni3Daniel Sommerville4Chris Joffe5Department of Computer Science, Pisa University, Largo Bruno Pontecorvo 3, 56127 Pisa, ItalyVisual Computing Laboratory, ISTI-CNR, Via G. Moruzzi 1, 56124 Pisa, ItalyVisual Computing Laboratory, ISTI-CNR, Via G. Moruzzi 1, 56124 Pisa, ItalyVisual Computing Laboratory, ISTI-CNR, Via G. Moruzzi 1, 56124 Pisa, ItalyEPRI, 3420 Hillview Avenue, Palo Alto, CA 94304, USAEPRI, 3420 Hillview Avenue, Palo Alto, CA 94304, USAWe present MoReLab, a tool for user-assisted 3D reconstruction. This reconstruction requires an understanding of the shapes of the desired objects. Our experiments demonstrate that existing Structure from Motion (SfM) software packages fail to estimate accurate 3D models in low-quality videos due to several issues such as low resolution, featureless surfaces, low lighting, etc. In such scenarios, which are common for industrial utility companies, user assistance becomes necessary to create reliable 3D models. In our system, the user first needs to add features and correspondences manually on multiple video frames. Then, classic camera calibration and bundle adjustment are applied. At this point, MoReLab provides several primitive shape tools such as rectangles, cylinders, curved cylinders, etc., to model different parts of the scene and export 3D meshes. These shapes are essential for modeling industrial equipment whose videos are typically captured by utility companies with old video cameras (low resolution, compression artifacts, etc.) and in disadvantageous lighting conditions (low lighting, torchlight attached to the video camera, etc.). We evaluate our tool on real industrial case scenarios and compare it against existing approaches. Visual comparisons and quantitative results show that MoReLab achieves superior results with regard to other user-interactive 3D modeling tools.https://www.mdpi.com/1424-8220/23/14/6456image-based 3D reconstruction3D modelinguser-assisted 3D reconstructionvideo-based 3D reconstructionStructure from MotionHCI
spellingShingle Arslan Siddique
Francesco Banterle
Massimiliano Corsini
Paolo Cignoni
Daniel Sommerville
Chris Joffe
MoReLab: A Software for User-Assisted 3D Reconstruction
Sensors
image-based 3D reconstruction
3D modeling
user-assisted 3D reconstruction
video-based 3D reconstruction
Structure from Motion
HCI
title MoReLab: A Software for User-Assisted 3D Reconstruction
title_full MoReLab: A Software for User-Assisted 3D Reconstruction
title_fullStr MoReLab: A Software for User-Assisted 3D Reconstruction
title_full_unstemmed MoReLab: A Software for User-Assisted 3D Reconstruction
title_short MoReLab: A Software for User-Assisted 3D Reconstruction
title_sort morelab a software for user assisted 3d reconstruction
topic image-based 3D reconstruction
3D modeling
user-assisted 3D reconstruction
video-based 3D reconstruction
Structure from Motion
HCI
url https://www.mdpi.com/1424-8220/23/14/6456
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AT paolocignoni morelabasoftwareforuserassisted3dreconstruction
AT danielsommerville morelabasoftwareforuserassisted3dreconstruction
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