Model for 3D printing created from multiview 2D silhouette images

Chao Yaug Liao; You Lin Ren; Douglas W. Wang; Jiing Yih Lai; Ju Yi Lee

Model for 3D printing created from multiview 2D silhouette images

Chao Yaug Liao, You Lin Ren, Douglas W. Wang, Jiing Yih Lai, Ju Yi Lee

Department of Mechanical Engineering

Research output: Contribution to conference › Paper › peer-review

1 Scopus citations

Abstract

In this study, a simple method to construct printable models of objects for use in three-dimensional (3D) printing is demonstrated. A camera is used to capture several series of images of an object placed on a rotatory table, with each series comprising images of the object in a different orientation. Furthermore, a novel alignment-by-image-matching method is employed to effectively integrate local camera positions into a global coordinate system. All series of images are transformed and set into a 3D space according to their camera parameters. A 3D model of the object is then constructed using the shape-from-silhouette method. Results show that the variations between an object and its printed model are within acceptable limits.

Original language	English
State	Published - 13 Nov 2017
Event	9th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2017 - Hiroshima City, Japan Duration: 13 Nov 2017 → 17 Nov 2017

Conference

Conference	9th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2017
Country/Territory	Japan
City	Hiroshima City
Period	13/11/17 → 17/11/17

Keywords

3D modeling
Additive manufacturing
Iterative closest point
Reverse engineering
Shape-from-silhouette

Cite this

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title = "Model for 3D printing created from multiview 2D silhouette images",

abstract = "In this study, a simple method to construct printable models of objects for use in three-dimensional (3D) printing is demonstrated. A camera is used to capture several series of images of an object placed on a rotatory table, with each series comprising images of the object in a different orientation. Furthermore, a novel alignment-by-image-matching method is employed to effectively integrate local camera positions into a global coordinate system. All series of images are transformed and set into a 3D space according to their camera parameters. A 3D model of the object is then constructed using the shape-from-silhouette method. Results show that the variations between an object and its printed model are within acceptable limits.",

keywords = "3D modeling, Additive manufacturing, Iterative closest point, Reverse engineering, Shape-from-silhouette",

author = "Liao, {Chao Yaug} and Ren, {You Lin} and Wang, {Douglas W.} and Lai, {Jiing Yih} and Lee, {Ju Yi}",

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TY - CONF

T1 - Model for 3D printing created from multiview 2D silhouette images

AU - Liao, Chao Yaug

AU - Ren, You Lin

AU - Wang, Douglas W.

AU - Lai, Jiing Yih

AU - Lee, Ju Yi

PY - 2017/11/13

Y1 - 2017/11/13

N2 - In this study, a simple method to construct printable models of objects for use in three-dimensional (3D) printing is demonstrated. A camera is used to capture several series of images of an object placed on a rotatory table, with each series comprising images of the object in a different orientation. Furthermore, a novel alignment-by-image-matching method is employed to effectively integrate local camera positions into a global coordinate system. All series of images are transformed and set into a 3D space according to their camera parameters. A 3D model of the object is then constructed using the shape-from-silhouette method. Results show that the variations between an object and its printed model are within acceptable limits.

AB - In this study, a simple method to construct printable models of objects for use in three-dimensional (3D) printing is demonstrated. A camera is used to capture several series of images of an object placed on a rotatory table, with each series comprising images of the object in a different orientation. Furthermore, a novel alignment-by-image-matching method is employed to effectively integrate local camera positions into a global coordinate system. All series of images are transformed and set into a 3D space according to their camera parameters. A 3D model of the object is then constructed using the shape-from-silhouette method. Results show that the variations between an object and its printed model are within acceptable limits.

KW - 3D modeling

KW - Additive manufacturing

KW - Iterative closest point

KW - Reverse engineering

KW - Shape-from-silhouette

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M3 - 會議論文

AN - SCOPUS:85041296240

T2 - 9th International Conference on Leading Edge Manufacturing in 21st Century, LEM 2017

Y2 - 13 November 2017 through 17 November 2017

ER -

Model for 3D printing created from multiview 2D silhouette images

Abstract

Conference

Keywords

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