Image-based mesh generation of tubular geometries under circular motion in refractive environments

László Kudela; Felix Frischmann; Ofry E. Yossef; Stefan Kollmannsberger; Zohar Yosibash; Ernst Rank

doi:10.1007/s00138-018-0921-3

Image-based mesh generation of tubular geometries under circular motion in refractive environments

László Kudela, Felix Frischmann, Ofry E. Yossef, Stefan Kollmannsberger, Zohar Yosibash, Ernst Rank

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

This paper presents an image-based method aimed at generating a mesh of high-order finite elements on a tubular structure. The method assumes that the object is immersed in a liquid with known refractive coefficients and the images are recorded by moving the camera on a circular path around the object. Both the refractive effects and the camera motion are taken into account by a modified bundle adjustment formulation, which allows for an accurate reconstruction even in the presence of the optical interface. A parametric surface is fitted onto the resulting point cloud by an iterative surface fitting algorithm. Finally, the resulting surface is discretized into a mesh of high-order hexahedral elements.

Original language	English
Pages (from-to)	719-733
Number of pages	15
Journal	Machine Vision and Applications
Volume	29
Issue number	5
DOIs	https://doi.org/10.1007/s00138-018-0921-3
State	Published - 1 Jul 2018
Externally published	Yes

Keywords

Image-based reconstruction
Mesh generation
Refractive reconstruction
Surface fitting

ASJC Scopus subject areas

Software
Hardware and Architecture
Computer Vision and Pattern Recognition
Computer Science Applications

Access to Document

10.1007/s00138-018-0921-3

Cite this

@article{2338eb1565d24370a78e4d01035c6d10,

title = "Image-based mesh generation of tubular geometries under circular motion in refractive environments",

abstract = "This paper presents an image-based method aimed at generating a mesh of high-order finite elements on a tubular structure. The method assumes that the object is immersed in a liquid with known refractive coefficients and the images are recorded by moving the camera on a circular path around the object. Both the refractive effects and the camera motion are taken into account by a modified bundle adjustment formulation, which allows for an accurate reconstruction even in the presence of the optical interface. A parametric surface is fitted onto the resulting point cloud by an iterative surface fitting algorithm. Finally, the resulting surface is discretized into a mesh of high-order hexahedral elements.",

keywords = "Image-based reconstruction, Mesh generation, Refractive reconstruction, Surface fitting",

author = "L{\'a}szl{\'o} Kudela and Felix Frischmann and Yossef, {Ofry E.} and Stefan Kollmannsberger and Zohar Yosibash and Ernst Rank",

note = "Publisher Copyright: {\textcopyright} 2018, Springer-Verlag GmbH Germany, part of Springer Nature.",

year = "2018",

month = jul,

day = "1",

doi = "10.1007/s00138-018-0921-3",

language = "English",

volume = "29",

pages = "719--733",

journal = "Machine Vision and Applications",

issn = "0932-8092",

publisher = "Springer Verlag",

number = "5",

}

TY - JOUR

T1 - Image-based mesh generation of tubular geometries under circular motion in refractive environments

AU - Kudela, László

AU - Frischmann, Felix

AU - Yossef, Ofry E.

AU - Kollmannsberger, Stefan

AU - Yosibash, Zohar

AU - Rank, Ernst

PY - 2018/7/1

Y1 - 2018/7/1

N2 - This paper presents an image-based method aimed at generating a mesh of high-order finite elements on a tubular structure. The method assumes that the object is immersed in a liquid with known refractive coefficients and the images are recorded by moving the camera on a circular path around the object. Both the refractive effects and the camera motion are taken into account by a modified bundle adjustment formulation, which allows for an accurate reconstruction even in the presence of the optical interface. A parametric surface is fitted onto the resulting point cloud by an iterative surface fitting algorithm. Finally, the resulting surface is discretized into a mesh of high-order hexahedral elements.

AB - This paper presents an image-based method aimed at generating a mesh of high-order finite elements on a tubular structure. The method assumes that the object is immersed in a liquid with known refractive coefficients and the images are recorded by moving the camera on a circular path around the object. Both the refractive effects and the camera motion are taken into account by a modified bundle adjustment formulation, which allows for an accurate reconstruction even in the presence of the optical interface. A parametric surface is fitted onto the resulting point cloud by an iterative surface fitting algorithm. Finally, the resulting surface is discretized into a mesh of high-order hexahedral elements.

KW - Image-based reconstruction

KW - Mesh generation

KW - Refractive reconstruction

KW - Surface fitting

UR - http://www.scopus.com/inward/record.url?scp=85045733363&partnerID=8YFLogxK

U2 - 10.1007/s00138-018-0921-3

DO - 10.1007/s00138-018-0921-3

M3 - Article

AN - SCOPUS:85045733363

SN - 0932-8092

VL - 29

SP - 719

EP - 733

JO - Machine Vision and Applications

JF - Machine Vision and Applications

IS - 5

ER -

Image-based mesh generation of tubular geometries under circular motion in refractive environments

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this