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Segmentation of infrared images using stereophotogrammetry. / Kluwe, Benjamin; Christian, David; Miknis, Marius; Plassmann, Peter; Jones, Carl.

VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. ed. / João Manuel R.S. Tavares; Renato Natal Jorge. Vol. 27 Springer Verlag, 2017. p. 1025-1034 (Lecture Notes in Computational Vision and Biomechanics; Vol. 27).

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Harvard

Kluwe, B, Christian, D, Miknis, M, Plassmann, P & Jones, C 2017, Segmentation of infrared images using stereophotogrammetry. in JMRS Tavares & RN Jorge (eds), VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. vol. 27, Lecture Notes in Computational Vision and Biomechanics, vol. 27, Springer Verlag, pp. 1025-1034, VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, Porto, Portugal, 18/10/17. https://doi.org/10.1007/978-3-319-68195-5_113

APA

Kluwe, B., Christian, D., Miknis, M., Plassmann, P., & Jones, C. (2017). Segmentation of infrared images using stereophotogrammetry. In J. M. R. S. Tavares, & R. N. Jorge (Eds.), VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017 (Vol. 27, pp. 1025-1034). (Lecture Notes in Computational Vision and Biomechanics; Vol. 27). Springer Verlag. https://doi.org/10.1007/978-3-319-68195-5_113

Vancouver

Kluwe B, Christian D, Miknis M, Plassmann P, Jones C. Segmentation of infrared images using stereophotogrammetry. In Tavares JMRS, Jorge RN, editors, VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. Vol. 27. Springer Verlag. 2017. p. 1025-1034. (Lecture Notes in Computational Vision and Biomechanics). https://doi.org/10.1007/978-3-319-68195-5_113

Author

Kluwe, Benjamin ; Christian, David ; Miknis, Marius ; Plassmann, Peter ; Jones, Carl. / Segmentation of infrared images using stereophotogrammetry. VipIMAGE 2017: Proceedings of the VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing Porto, Portugal, October 18-20, 2017. editor / João Manuel R.S. Tavares ; Renato Natal Jorge. Vol. 27 Springer Verlag, 2017. pp. 1025-1034 (Lecture Notes in Computational Vision and Biomechanics).

BibTeX

@inproceedings{47797166c6f74eac8033f052ae0d05d8,
title = "Segmentation of infrared images using stereophotogrammetry",
abstract = "Image Segmentation has historically been a difficult part of Image Analysis in Infrared Imaging. Solutions include using a low-emissivity or cold material as a background or using a separate visual camera to perform image analysis tasks such as with the FLIR One. The proposed method utilises Stereophotogrammetry to obtain a depth map which is subsequently refined and segmented into fore- and background to give an accurate depiction of the object being imaged. The resulting 3D model can then be viewed on a computer for further analysis.",
author = "Benjamin Kluwe and David Christian and Marius Miknis and Peter Plassmann and Carl Jones",
year = "2017",
month = oct,
day = "13",
doi = "10.1007/978-3-319-68195-5_113",
language = "English",
isbn = "978-3-319-68194-8",
volume = "27",
series = "Lecture Notes in Computational Vision and Biomechanics",
publisher = "Springer Verlag",
pages = "1025--1034",
editor = "Tavares, {Jo{\~a}o Manuel R.S. } and Jorge, {Renato Natal}",
booktitle = "VipIMAGE 2017",
address = "Germany",
note = "VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE ; Conference date: 18-10-2017 Through 20-10-2017",

}

RIS

TY - GEN

T1 - Segmentation of infrared images using stereophotogrammetry

AU - Kluwe, Benjamin

AU - Christian, David

AU - Miknis, Marius

AU - Plassmann, Peter

AU - Jones, Carl

PY - 2017/10/13

Y1 - 2017/10/13

N2 - Image Segmentation has historically been a difficult part of Image Analysis in Infrared Imaging. Solutions include using a low-emissivity or cold material as a background or using a separate visual camera to perform image analysis tasks such as with the FLIR One. The proposed method utilises Stereophotogrammetry to obtain a depth map which is subsequently refined and segmented into fore- and background to give an accurate depiction of the object being imaged. The resulting 3D model can then be viewed on a computer for further analysis.

AB - Image Segmentation has historically been a difficult part of Image Analysis in Infrared Imaging. Solutions include using a low-emissivity or cold material as a background or using a separate visual camera to perform image analysis tasks such as with the FLIR One. The proposed method utilises Stereophotogrammetry to obtain a depth map which is subsequently refined and segmented into fore- and background to give an accurate depiction of the object being imaged. The resulting 3D model can then be viewed on a computer for further analysis.

U2 - 10.1007/978-3-319-68195-5_113

DO - 10.1007/978-3-319-68195-5_113

M3 - Conference contribution

AN - SCOPUS:85032360612

SN - 978-3-319-68194-8

VL - 27

T3 - Lecture Notes in Computational Vision and Biomechanics

SP - 1025

EP - 1034

BT - VipIMAGE 2017

A2 - Tavares, João Manuel R.S.

A2 - Jorge, Renato Natal

PB - Springer Verlag

T2 - VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing

Y2 - 18 October 2017 through 20 October 2017

ER -

ID: 1617342