Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Patrik Huber"'
Publikováno v:
Image Analysis ISBN: 9783031314377
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44f1f67384efd639204f561bbdb7c4ed
https://doi.org/10.1007/978-3-031-31438-4_29
https://doi.org/10.1007/978-3-031-31438-4_29
We propose to tackle the multiview photometric stereo problem using an extension of Neural Radiance Fields (NeRFs), conditioned on light source direction. The geometric part of our neural representation predicts surface normal direction, allowing us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6b9f94cd33cc651c45d445052730edd5
http://arxiv.org/abs/2207.06793
http://arxiv.org/abs/2207.06793
Publikováno v:
Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b09dbe2a8b5d3fb37d9a44b14d3f1e1
https://doi.org/10.5220/0010912000003124
https://doi.org/10.5220/0010912000003124
Publikováno v:
Computer Vision – ACCV 2020 ISBN: 9783030695248
ACCV (1)
ACCV (1)
Lego is one of the most successful toys in the world. Being able to scan, analyse and reconstruct Lego models has many applications, for example studying creativity. In this paper, from a set of 2D input images, we create a monolithic mesh, represent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80c3f142b66dd962ae850f87297cb034
https://doi.org/10.1007/978-3-030-69525-5_4
https://doi.org/10.1007/978-3-030-69525-5_4
Publikováno v:
3D Imaging, Analysis and Applications ISBN: 9783030440695
With prior knowledge and experience, people can easily observe rich shape and texture variation for a certain type of object, such as human faces, cats or chairs, in both 2D and 3D images. This ability helps us recognise the same person, distinguish
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a45703a5fac05bb4b56c982acb5a4f30
https://doi.org/10.1007/978-3-030-44070-1_10
https://doi.org/10.1007/978-3-030-44070-1_10
Publikováno v:
VISIGRAPP (5: VISAPP)
3D assisted 2D face recognition involves the process of reconstructing 3D faces from 2D images and solving the problem of face recognition in 3D. To facilitate the use of deep neural networks, a 3D face, normally represented as a 3D mesh of vertices
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf5978bc04566ab6d66b5cbec4ddd792
https://surrey.eprints-hosting.org/853365/
https://surrey.eprints-hosting.org/853365/
Publikováno v:
IEEE Signal Processing Letters. 24:437-441
We present a fully automatic approach to real-time 3D face reconstruction from monocular in-the-wild videos. With the use of a cascaded-regressor-based face tracking and a 3D morphable face model shape fitting, we obtain a semidense 3D face shape. We
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b527bfe2121b1000f0d44b06b059090
https://doi.org/10.1109/lsp.2016.2643284
https://doi.org/10.1109/lsp.2016.2643284
Autor:
Zhen-Hua Feng, Patrik Huber, Josef Kittler, Peter J. B. Hancock, Qijun Zhao, Xiaojun Wu, Paul Koppen, Matthias Raetsch
Publikováno v:
FG
This paper investigates the evaluation of dense 3D face reconstruction from a single 2D image in the wild. To this end, we organise a competition that provides a new benchmark dataset that contains 2000 2D facial images of 135 subjects as well as the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eb23b4fb74afb3953fcfdfd143da0ad
http://dspace.stir.ac.uk/bitstream/1893/27616/1/2018_FG_Evaluation.pdf
http://dspace.stir.ac.uk/bitstream/1893/27616/1/2018_FG_Evaluation.pdf
Publikováno v:
CVPR
We present a new loss function, namely Wing loss, for robust facial landmark localisation with Convolutional Neural Networks (CNNs). We first compare and analyse different loss functions including L2, L1 and smooth L1. The analysis of these loss func
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de6f82dd1a13b9e3eb50b6cdd7e5a38c
https://doi.org/10.1109/cvpr.2018.00238
https://doi.org/10.1109/cvpr.2018.00238
Publikováno v:
ICB
Fitting 3D Morphable Face Models (3DMM) to a 2D face image allows the separation of face shape from skin texture, as well as correction for face expression. However, the recovered 3D face representation is not readily amenable to processing by convol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7a7a4397bcab7431296f7363d134fbcc
https://doi.org/10.1109/icb2018.2018.00029
https://doi.org/10.1109/icb2018.2018.00029