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Dynamic 3D surface reconstruction using a hand-held camera

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

Standard

Dynamic 3D surface reconstruction using a hand-held camera. / Fan, Hao; Qi, Lin; Dong, Junyu; Li, Gongfa; Yu, Hui.

IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. p. 3244-3249 18381943.

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

Harvard

Fan, H, Qi, L, Dong, J, Li, G & Yu, H 2018, Dynamic 3D surface reconstruction using a hand-held camera. in IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society., 18381943, IEEE, pp. 3244-3249, 44th Annual Conference of the IEEE Industrial Electronics Society, Washington DC, United States, 21/10/18. https://doi.org/10.1109/IECON.2018.8592826

APA

Fan, H., Qi, L., Dong, J., Li, G., & Yu, H. (2018). Dynamic 3D surface reconstruction using a hand-held camera. In IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society (pp. 3244-3249). [18381943] IEEE. https://doi.org/10.1109/IECON.2018.8592826

Vancouver

Fan H, Qi L, Dong J, Li G, Yu H. Dynamic 3D surface reconstruction using a hand-held camera. In IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE. 2018. p. 3244-3249. 18381943 https://doi.org/10.1109/IECON.2018.8592826

Author

Fan, Hao ; Qi, Lin ; Dong, Junyu ; Li, Gongfa ; Yu, Hui. / Dynamic 3D surface reconstruction using a hand-held camera. IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2018. pp. 3244-3249

Bibtex

@inproceedings{7e7641f59d4e42ecb097bfe4ae94cf0a,
title = "Dynamic 3D surface reconstruction using a hand-held camera",
abstract = "This paper proposes a dynamic 3D reconstruction method for recovering a surface shape from a set of images that are captured by a hand-held camera. A light source is attached to the camera as a photometric constraint. Thus, we can effectively calculate photometric stereo using the relative moving camera. The key contributions of our work are a robust pixel matching method to build effective correspondences between images for normal estimation, and an optimization method to correct the deviation in the recovered surface shape that is caused by the non- ideal illumination in a close-range lighting condition. Specially we correct the recovered shape by adding an interpolation surface that is estimated using sparse control points from the structure from motion. The effectiveness of our method is verified on real datasets with a digital camera and a smartphone.",
keywords = "RCUK, EPSRC, EP/N025849/1",
author = "Hao Fan and Lin Qi and Junyu Dong and Gongfa Li and Hui Yu",
year = "2018",
month = "12",
day = "31",
doi = "10.1109/IECON.2018.8592826",
language = "English",
isbn = "978-1-5090-6685-8",
pages = "3244--3249",
booktitle = "IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Dynamic 3D surface reconstruction using a hand-held camera

AU - Fan, Hao

AU - Qi, Lin

AU - Dong, Junyu

AU - Li, Gongfa

AU - Yu, Hui

PY - 2018/12/31

Y1 - 2018/12/31

N2 - This paper proposes a dynamic 3D reconstruction method for recovering a surface shape from a set of images that are captured by a hand-held camera. A light source is attached to the camera as a photometric constraint. Thus, we can effectively calculate photometric stereo using the relative moving camera. The key contributions of our work are a robust pixel matching method to build effective correspondences between images for normal estimation, and an optimization method to correct the deviation in the recovered surface shape that is caused by the non- ideal illumination in a close-range lighting condition. Specially we correct the recovered shape by adding an interpolation surface that is estimated using sparse control points from the structure from motion. The effectiveness of our method is verified on real datasets with a digital camera and a smartphone.

AB - This paper proposes a dynamic 3D reconstruction method for recovering a surface shape from a set of images that are captured by a hand-held camera. A light source is attached to the camera as a photometric constraint. Thus, we can effectively calculate photometric stereo using the relative moving camera. The key contributions of our work are a robust pixel matching method to build effective correspondences between images for normal estimation, and an optimization method to correct the deviation in the recovered surface shape that is caused by the non- ideal illumination in a close-range lighting condition. Specially we correct the recovered shape by adding an interpolation surface that is estimated using sparse control points from the structure from motion. The effectiveness of our method is verified on real datasets with a digital camera and a smartphone.

KW - RCUK

KW - EPSRC

KW - EP/N025849/1

U2 - 10.1109/IECON.2018.8592826

DO - 10.1109/IECON.2018.8592826

M3 - Conference contribution

SN - 978-1-5090-6685-8

SP - 3244

EP - 3249

BT - IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

PB - IEEE

ER -

ID: 11284856