@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",
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",
}