Surface Construction from Kinect RGB-D Stream

W. G.C.W. Kumara; Timothy K. Shih; Hui Huang Hsu; Shih Jung Wu; Stanislav Klimenko; Andrei Klimenko

doi:10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

Surface Construction from Kinect RGB-D Stream

W. G.C.W. Kumara, Timothy K. Shih, Hui Huang Hsu, Shih Jung Wu, Stanislav Klimenko, Andrei Klimenko

Department of Computer Science and Information Engineering

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

Abstract

An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016
Editors	Kevin I-Kai Wang, Qun Jin, Md Zakirul Alam Bhuiyan, Qingchen Zhang, Ching-Hsien Hsu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	24-30
Number of pages	7
ISBN (Electronic)	9781509040650
DOIs	https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20
State	Published - 11 Oct 2016
Event	14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 - Auckland, New Zealand Duration: 8 Aug 2016 → 10 Aug 2016

Publication series

Name

Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016

Conference

Conference	14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016
Country/Territory	New Zealand
City	Auckland
Period	8/08/16 → 10/08/16

Keywords

bicubic
bspline
icp
kinect
Object segmentation
point cloud
rgb-d
Splines
surface construction
Surface fitting

Access to Document

10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

Cite this

Kumara, W. G. C. W., Shih, T. K., Hsu, H. H., Wu, S. J., Klimenko, S., & Klimenko, A. (2016). Surface Construction from Kinect RGB-D Stream. In K. I.-K. Wang, Q. Jin, M. Z. A. Bhuiyan, Q. Zhang, & C.-H. Hsu (Eds.), Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 (pp. 24-30). Article 7588815 (Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

Kumara, W. G.C.W. ; Shih, Timothy K. ; Hsu, Hui Huang et al. / Surface Construction from Kinect RGB-D Stream. Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016. editor / Kevin I-Kai Wang ; Qun Jin ; Md Zakirul Alam Bhuiyan ; Qingchen Zhang ; Ching-Hsien Hsu. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 24-30 (Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016).

@inproceedings{1a47c1e1fa504ebf9cdab24e0e4089ea,

title = "Surface Construction from Kinect RGB-D Stream",

abstract = "An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.",

keywords = "bicubic, bspline, icp, kinect, Object segmentation, point cloud, rgb-d, Splines, surface construction, Surface fitting",

author = "Kumara, {W. G.C.W.} and Shih, {Timothy K.} and Hsu, {Hui Huang} and Wu, {Shih Jung} and Stanislav Klimenko and Andrei Klimenko",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016 ; Conference date: 08-08-2016 Through 10-08-2016",

year = "2016",

month = oct,

day = "11",

doi = "10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20",

language = "???core.languages.en_GB???",

series = "Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "24--30",

editor = "Wang, {Kevin I-Kai} and Qun Jin and Bhuiyan, {Md Zakirul Alam} and Qingchen Zhang and Ching-Hsien Hsu",

booktitle = "Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016",

}

Kumara, WGCW, Shih, TK, Hsu, HH, Wu, SJ, Klimenko, S & Klimenko, A 2016, Surface Construction from Kinect RGB-D Stream. in KI-K Wang, Q Jin, MZA Bhuiyan, Q Zhang & C-H Hsu (eds), Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016., 7588815, Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016, Institute of Electrical and Electronics Engineers Inc., pp. 24-30, 14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016, Auckland, New Zealand, 8/08/16. https://doi.org/10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

Surface Construction from Kinect RGB-D Stream. / Kumara, W. G.C.W.; Shih, Timothy K.; Hsu, Hui Huang et al.
Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016. ed. / Kevin I-Kai Wang; Qun Jin; Md Zakirul Alam Bhuiyan; Qingchen Zhang; Ching-Hsien Hsu. Institute of Electrical and Electronics Engineers Inc., 2016. p. 24-30 7588815 (Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016).

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

TY - GEN

T1 - Surface Construction from Kinect RGB-D Stream

AU - Kumara, W. G.C.W.

AU - Shih, Timothy K.

AU - Hsu, Hui Huang

AU - Wu, Shih Jung

AU - Klimenko, Stanislav

AU - Klimenko, Andrei

PY - 2016/10/11

Y1 - 2016/10/11

N2 - An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.

AB - An object surface extraction from a set of point clouds extracted using a Kinect V2 sensor is presented here. First several point clouds are extracted from different angles around the object. Second point clouds are registered with each other using the Iterative Closest Point algorithm. If the angle between two camera positions is large, point clouds are manually rough aligned. Then iterative closest point algorithm provides a finer alignment. Next the object boundary is found enclosing all the points in the aligned and merged point cloud. After that a triangular mesh is created with the boundary points. Finally colors acquired from the original point cloud are applied on the triangular surface generated. For a better visual effect colors of the points are interpolated on the triangular mesh generated.

KW - bicubic

KW - bspline

KW - icp

KW - kinect

KW - Object segmentation

KW - point cloud

KW - rgb-d

KW - Splines

KW - surface construction

KW - Surface fitting

UR - http://www.scopus.com/inward/record.url?scp=84995403787&partnerID=8YFLogxK

U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

M3 - 會議論文篇章

AN - SCOPUS:84995403787

T3 - Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016

SP - 24

EP - 30

BT - Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016

A2 - Wang, Kevin I-Kai

A2 - Jin, Qun

A2 - Bhuiyan, Md Zakirul Alam

A2 - Zhang, Qingchen

A2 - Hsu, Ching-Hsien

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 14th IEEE International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 14th IEEE International Conference on Pervasive Intelligence and Computing, PICom 2016, 2nd IEEE International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016

Y2 - 8 August 2016 through 10 August 2016

ER -

Kumara WGCW, Shih TK, Hsu HH, Wu SJ, Klimenko S, Klimenko A. Surface Construction from Kinect RGB-D Stream. In Wang KIK, Jin Q, Bhuiyan MZA, Zhang Q, Hsu CH, editors, Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 24-30. 7588815. (Proceedings - 2016 IEEE 14th International Conference on Dependable, Autonomic and Secure Computing, DASC 2016, 2016 IEEE 14th International Conference on Pervasive Intelligence and Computing, PICom 2016, 2016 IEEE 2nd International Conference on Big Data Intelligence and Computing, DataCom 2016 and 2016 IEEE Cyber Science and Technology Congress, CyberSciTech 2016, DASC-PICom-DataCom-CyberSciTech 2016). doi: 10.1109/DASC-PICom-DataCom-CyberSciTec.2016.20

Surface Construction from Kinect RGB-D Stream

Abstract

Publication series

Conference

Keywords

Access to Document

Fingerprint

Cite this