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Fotios Logothetis
Fotios Logothetis
Researcher, Toshiba Europe
Verified email at crl.toshiba.co.uk - Homepage
Title
Cited by
Cited by
Year
Px-net: Simple and efficient pixel-wise training of photometric stereo networks
F Logothetis, I Budvytis, R Mecca, R Cipolla
Proceedings of the IEEE/CVF international conference on computer vision …, 2021
552021
A differential volumetric approach to multi-view photometric stereo
F Logothetis, R Mecca, R Cipolla
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
532019
Semi-calibrated near field photometric stereo
F Logothetis, R Mecca, R Cipolla
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
492017
A single-lobe photometric stereo approach for heterogeneous material
R Mecca, Y Quéau, F Logothetis, R Cipolla
SIAM Journal on Imaging Sciences 9 (4), 1858-1888, 2016
382016
A CNN Based Approach for the Near-Field Photometric Stereo Problem
F Logothetis, I Budvytis, R Mecca, R Cipolla
31st British Machine Vision Virtual Conference, 2020
312020
Tensile strength of artificially cemented sandstone generated via microbially induced carbonate precipitation
C Konstantinou, G Biscontin, F Logothetis
Materials 14 (16), 4735, 2021
262021
A cnn based approach for the point-light photometric stereo problem
F Logothetis, R Mecca, I Budvytis, R Cipolla
International Journal of Computer Vision 131 (1), 101-120, 2023
212023
Luces: A dataset for near-field point light source photometric stereo
R Mecca, F Logothetis, I Budvytis, R Cipolla
arXiv preprint arXiv:2104.13135, 2021
212021
Near-field photometric stereo in ambient light
F Logothetis, R Mecca, Y Quéau, R Cipolla
British Machine Vision Association (BMVA), 2016
192016
A differential approach to shape from polarisation: A level-set characterisation
F Logothetis, R Mecca, F Sgallari, R Cipolla
International Journal of Computer Vision 127, 1680-1693, 2019
182019
A differential approach to shape from polarization
R Mecca, F Logothetis, R Cipolla
British Machine Vision Association and Society for Pattern Recognition, 2017
62017
Computer vision method and system
F Logothetis, R Mecca, I Budvytis, R Cipolla
US Patent 11,568,595, 2023
52023
A neural height-map approach for the binocular photometric stereo problem
F Logothetis, I Budvytis, R Cipolla
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Detailed and Practical 3D Reconstruction with Advanced Photometric Stereo Modelling
F Logothetis
12019
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
F Logothetis, I Budvytis, R Cipolla
arXiv preprint arXiv:2405.12057, 2024
2024
System and method for performing 3D imaging of an object
R Mecca, R Cipolla, F Logothetis
US Patent 11,394,945, 2022
2022
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem Supplementary matterial
F Logothetis, I Budvytis, R Cipolla
A Differential Volumetric Approach to Multi-View Photometric Stereo Supplementary Material
F Logothetis, R Mecca, R Cipolla
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