3D object reconstruction from parallel cross-sections

Karolina Nurzỳnska

doi:10.1007/978-3-642-02345-3_12

3D object reconstruction from parallel cross-sections

Karolina Nurzỳnska

Department of Algorithmics and Software (RAU/RAU5)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.

Original language	English
Title of host publication	Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers
Pages	111-122
Number of pages	12
DOIs	https://doi.org/10.1007/978-3-642-02345-3_12
Publication status	Published - 2009
Event	International Conference on Computer Vision and Graphics, ICCVG 2008 - Warsaw, Poland Duration: 10 Nov 2008 → 12 Nov 2008

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5337 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computer Vision and Graphics, ICCVG 2008
Country/Territory	Poland
City	Warsaw
Period	10/11/08 → 12/11/08

Keywords

3D object reconstruction
CT scans
Contour stitching
Parallel contours

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-642-02345-3_12

Cite this

Nurzỳnska, K. (2009). 3D object reconstruction from parallel cross-sections. In Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers (pp. 111-122). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5337 LNCS). https://doi.org/10.1007/978-3-642-02345-3_12

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title = "3D object reconstruction from parallel cross-sections",

abstract = "The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.",

keywords = "3D object reconstruction, CT scans, Contour stitching, Parallel contours",

author = "Karolina Nurzỳnska",

year = "2009",

doi = "10.1007/978-3-642-02345-3\_12",

language = "English",

isbn = "3642023444",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

pages = "111--122",

booktitle = "Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers",

note = "International Conference on Computer Vision and Graphics, ICCVG 2008 ; Conference date: 10-11-2008 Through 12-11-2008",

}

Nurzỳnska, K 2009, 3D object reconstruction from parallel cross-sections. in Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5337 LNCS, pp. 111-122, International Conference on Computer Vision and Graphics, ICCVG 2008, Warsaw, Poland, 10/11/08. https://doi.org/10.1007/978-3-642-02345-3_12

3D object reconstruction from parallel cross-sections. / Nurzỳnska, Karolina.
Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers. 2009. p. 111-122 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5337 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.

AB - The paper presents a novel approach to the contour stitching method which improves the reconstruction of 3D objects from parallel contours. The innovation assumes the construction of outer and inner contour from many contours on one cross-section in case of branching. This exchange allows easy one to one connection, between contours on adjoining cross-sections, which has already been defined. Additionally, such a definition permits from artificial holes generation. Moreover, the method takes care of smooth surface reconstruction in case of concave and convex shapes. The performance of the novel algorithm has been tested on the set of artificial data as well as on the set of data gathered from CT scans and proved it to work well.

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KW - CT scans

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DO - 10.1007/978-3-642-02345-3_12

M3 - Conference contribution

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SN - 9783642023446

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

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BT - Computer Vision and Graphics - International Conference, ICCVG 2008, Revised Papers

T2 - International Conference on Computer Vision and Graphics, ICCVG 2008

Y2 - 10 November 2008 through 12 November 2008

ER -

3D object reconstruction from parallel cross-sections

Abstract

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Conference

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this