A triangle mesh reconstruction method taking into account silhouette images

Michihiro Mikamo, Yoshinori Oki, Marco Visentini-Scarzanella, Hiroshi Kawasaki, Ryo Furukawa, Ryusuke Sagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose a novel approach to reconstruct triangle meshes from point sets by taking the silhouette of the target object into consideration. Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. For example, motion capture techniques are used to acquire 3D data of human motion. However, it needs to attach markers onto the joints, which results in limiting the capturing environments and the number of data that can be acquired. In contrast, to obtain dense data of 3D object, multi-view stereo scanning system is one of the powerful methods. It utilize images taken by several directions and enables to reconstruct 3D dense point sets by using Epipolar geometry. However, it is still challenging problem to reconstruct 3D triangle mesh from the 3D point sets due to the abundant points originated by mismatched points between images. We propose a novel approach to obtain more accurate triangle mesh reconstruction method than the previous one. We take advantage of silhouette images acquired in the process of reconstructing 3D point sets that result in removing noises and compensating holes. Finally, we demonstrate that the proposed method can generate the details of the surface, where the previous method loses from a small number of points.

Original languageEnglish
Title of host publicationImage and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers
EditorsMariano Rivera, Brendan McCane, Xinguo Yu, Thomas Bräunl
PublisherSpringer Verlag
Pages582-593
Number of pages12
ISBN (Print)9783319294506
DOIs
Publication statusPublished - Jan 1 2016
Event7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015 - Auckland, New Zealand
Duration: Nov 25 2015Nov 27 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9431
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015
CountryNew Zealand
CityAuckland
Period11/25/1511/27/15

Fingerprint

Triangle Mesh
Silhouette
Point Sets
Scanning
Geometry
Epipolar Geometry
Motion Capture
3D Reconstruction
Moving Objects
Limiting
Target
Motion
Demonstrate
Object

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Mikamo, M., Oki, Y., Visentini-Scarzanella, M., Kawasaki, H., Furukawa, R., & Sagawa, R. (2016). A triangle mesh reconstruction method taking into account silhouette images. In M. Rivera, B. McCane, X. Yu, & T. Bräunl (Eds.), Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers (pp. 582-593). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9431). Springer Verlag. https://doi.org/10.1007/978-3-319-29451-3_46

A triangle mesh reconstruction method taking into account silhouette images. / Mikamo, Michihiro; Oki, Yoshinori; Visentini-Scarzanella, Marco; Kawasaki, Hiroshi; Furukawa, Ryo; Sagawa, Ryusuke.

Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers. ed. / Mariano Rivera; Brendan McCane; Xinguo Yu; Thomas Bräunl. Springer Verlag, 2016. p. 582-593 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9431).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mikamo, M, Oki, Y, Visentini-Scarzanella, M, Kawasaki, H, Furukawa, R & Sagawa, R 2016, A triangle mesh reconstruction method taking into account silhouette images. in M Rivera, B McCane, X Yu & T Bräunl (eds), Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9431, Springer Verlag, pp. 582-593, 7th Pacific-Rim Symposium on Image and Video Technology, PSIVT 2015, Auckland, New Zealand, 11/25/15. https://doi.org/10.1007/978-3-319-29451-3_46
Mikamo M, Oki Y, Visentini-Scarzanella M, Kawasaki H, Furukawa R, Sagawa R. A triangle mesh reconstruction method taking into account silhouette images. In Rivera M, McCane B, Yu X, Bräunl T, editors, Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers. Springer Verlag. 2016. p. 582-593. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-29451-3_46
Mikamo, Michihiro ; Oki, Yoshinori ; Visentini-Scarzanella, Marco ; Kawasaki, Hiroshi ; Furukawa, Ryo ; Sagawa, Ryusuke. / A triangle mesh reconstruction method taking into account silhouette images. Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers. editor / Mariano Rivera ; Brendan McCane ; Xinguo Yu ; Thomas Bräunl. Springer Verlag, 2016. pp. 582-593 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{e0f4a7dcfb444e1bae46d72ac199d5a7,
title = "A triangle mesh reconstruction method taking into account silhouette images",
abstract = "In this paper, we propose a novel approach to reconstruct triangle meshes from point sets by taking the silhouette of the target object into consideration. Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. For example, motion capture techniques are used to acquire 3D data of human motion. However, it needs to attach markers onto the joints, which results in limiting the capturing environments and the number of data that can be acquired. In contrast, to obtain dense data of 3D object, multi-view stereo scanning system is one of the powerful methods. It utilize images taken by several directions and enables to reconstruct 3D dense point sets by using Epipolar geometry. However, it is still challenging problem to reconstruct 3D triangle mesh from the 3D point sets due to the abundant points originated by mismatched points between images. We propose a novel approach to obtain more accurate triangle mesh reconstruction method than the previous one. We take advantage of silhouette images acquired in the process of reconstructing 3D point sets that result in removing noises and compensating holes. Finally, we demonstrate that the proposed method can generate the details of the surface, where the previous method loses from a small number of points.",
author = "Michihiro Mikamo and Yoshinori Oki and Marco Visentini-Scarzanella and Hiroshi Kawasaki and Ryo Furukawa and Ryusuke Sagawa",
year = "2016",
month = "1",
day = "1",
doi = "10.1007/978-3-319-29451-3_46",
language = "English",
isbn = "9783319294506",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "582--593",
editor = "Mariano Rivera and Brendan McCane and Xinguo Yu and Thomas Br{\"a}unl",
booktitle = "Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers",
address = "Germany",

}

TY - GEN

T1 - A triangle mesh reconstruction method taking into account silhouette images

AU - Mikamo, Michihiro

AU - Oki, Yoshinori

AU - Visentini-Scarzanella, Marco

AU - Kawasaki, Hiroshi

AU - Furukawa, Ryo

AU - Sagawa, Ryusuke

PY - 2016/1/1

Y1 - 2016/1/1

N2 - In this paper, we propose a novel approach to reconstruct triangle meshes from point sets by taking the silhouette of the target object into consideration. Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. For example, motion capture techniques are used to acquire 3D data of human motion. However, it needs to attach markers onto the joints, which results in limiting the capturing environments and the number of data that can be acquired. In contrast, to obtain dense data of 3D object, multi-view stereo scanning system is one of the powerful methods. It utilize images taken by several directions and enables to reconstruct 3D dense point sets by using Epipolar geometry. However, it is still challenging problem to reconstruct 3D triangle mesh from the 3D point sets due to the abundant points originated by mismatched points between images. We propose a novel approach to obtain more accurate triangle mesh reconstruction method than the previous one. We take advantage of silhouette images acquired in the process of reconstructing 3D point sets that result in removing noises and compensating holes. Finally, we demonstrate that the proposed method can generate the details of the surface, where the previous method loses from a small number of points.

AB - In this paper, we propose a novel approach to reconstruct triangle meshes from point sets by taking the silhouette of the target object into consideration. Recently, many approaches have been proposed for complete 3D reconstruction of moving objects. For example, motion capture techniques are used to acquire 3D data of human motion. However, it needs to attach markers onto the joints, which results in limiting the capturing environments and the number of data that can be acquired. In contrast, to obtain dense data of 3D object, multi-view stereo scanning system is one of the powerful methods. It utilize images taken by several directions and enables to reconstruct 3D dense point sets by using Epipolar geometry. However, it is still challenging problem to reconstruct 3D triangle mesh from the 3D point sets due to the abundant points originated by mismatched points between images. We propose a novel approach to obtain more accurate triangle mesh reconstruction method than the previous one. We take advantage of silhouette images acquired in the process of reconstructing 3D point sets that result in removing noises and compensating holes. Finally, we demonstrate that the proposed method can generate the details of the surface, where the previous method loses from a small number of points.

UR - http://www.scopus.com/inward/record.url?scp=84958999290&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958999290&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-29451-3_46

DO - 10.1007/978-3-319-29451-3_46

M3 - Conference contribution

AN - SCOPUS:84958999290

SN - 9783319294506

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 582

EP - 593

BT - Image and Video Technology - 7th Pacific-Rim Symposium, PSIVT 2015, Revised Selected Papers

A2 - Rivera, Mariano

A2 - McCane, Brendan

A2 - Yu, Xinguo

A2 - Bräunl, Thomas

PB - Springer Verlag

ER -