@article{liaskos2022,

title = {XR-RF Imaging Enabled by Software-Defined Metasurfaces and Machine Learning: Foundational Vision, Technologies and Challenges},

author = {Christos Liaskos and Ageliki Tsioliaridou and Konstantinos Georgopoulos and Ioannis Morianos and Sotiris Ioannidis and Iosif Salem and Dionyssios Manessis and Stefan Schmid and Dimitrios Tyrovolas and Sotiris A. Tegos and Prodromos-Vasileios Mekikis and Panagiotis D. Diamantoulakis and Alexandros Pitilakis and Nikolaos V. Kantartzis and George K. Karagiannidis and Anna C. Tasolamprou and Odysseas Tsilipakos and Maria Kafesaki and Ian F. Akyildiz and Andreas Pitsillides and Maria Pateraki and Michael Vakalellis and Ilias Spais},

doi = {10.1109/ACCESS.2022.3219871},

year  = {2022},

date = {2022-01-01},

urldate = {2022-01-01},

journal = {IEEE Access},

volume = {10},

pages = {119841-119862},

keywords = {imaging, Metasurfaces, Radio frequency, Three-dimensional displays, Wireless communication, Wireless sensor networks, X reality},

pubstate = {published},

tppubtype = {article}

}

@article{Suma2016,

title = {Evaluation of the effectiveness of HDR tone-mapping operators for photogrammetric applications},

author = {Rossella Suma and Georgia Stavropoulou and Elisavet K Stathopoulou and Luc {Van Gool} and Andreas Georgopoulos and Alan Chalmers},

url = {http://polipapers.upv.es/index.php/var/article/view/6319},

doi = {10.4995/var.2016.6319},

issn = {1989-9947},

year  = {2016},

date = {2016-11-01},

journal = {Virtual Archaeol. Rev.},

volume = {7},

number = {15},

pages = {54},

abstract = {textlessp class="VARAbstract"textgreaterThe ability of High Dynamic Range (HDR) imaging to capture the full range of lighting in a scene has meant that it is being increasingly used for Cultural Heritage (CH) applications. Photogrammetric techniques allow the semi-automatic production of 3D models from a sequence of images. Current photogrammetric methods are not always effective in reconstructing images under harsh lighting conditions, as significant geometric details may not have been captured accurately within under- and over-exposed regions of the image. HDR imaging offers the possibility to overcome this limitation, however the HDR images need to be tone mapped before they can be used within existing photogrammetric algorithms. In this paper we evaluate four different HDR tone-mapping operators (TMOs) that have been used to convert raw HDR images into a format suitable for state-of-the-art algorithms, and in particular keypoint detection techniques. The evaluation criteria used are the number of keypoints, the number of valid matches achieved and the repeatability rate. The comparison considers two local and two global TMOs. HDR data from four CH sites were used: Kaisariani Monastery (Greece), Asinou Church (Cyprus), Ch\^{a}teau des Baux (France) and Buonconsiglio Castle (Italy).textless/ptextgreater},

keywords = {hdr, hdr tone-mapping, high dynamic range, Image-based 3D reconstruction, imaging, keypoint detection},

pubstate = {published},

tppubtype = {article}

}