Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Pablo Speciale"'
Autor:
Paul-Edouard Sarlin, Mihai Dusmanu, Johannes L. Schönberger, Pablo Speciale, Lukas Gruber, Viktor Larsson, Ondrej Miksik, Marc Pollefeys
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031200700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3ce54be70323d18880eb9601b24fdfdb
https://doi.org/10.1007/978-3-031-20071-7_40
https://doi.org/10.1007/978-3-031-20071-7_40
Publikováno v:
CVPR
Recent works on localization and mapping from privacy preserving line features have made significant progress towards addressing the privacy concerns arising from cloud-based solutions in mixed reality and robotics. The requirement for calibrated cam
Autor:
Silvano Galliani, Christoph Vogel, Pablo Speciale, Arda Duzceker, Mihai Dusmanu, Marc Pollefeys
Publikováno v:
CVPR
We propose an online multi-view depth prediction approach on posed video streams, where the scene geometry information computed in the previous time steps is propagated to the current time step in an efficient and geometrically plausible way. The bac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfe52842e993a1f0d2ad1b48cf2e6064
http://arxiv.org/abs/2012.02177
http://arxiv.org/abs/2012.02177
Publikováno v:
CVPR
We present PatchmatchNet, a novel and learnable cascade formulation of Patchmatch for high-resolution multi-view stereo. With high computation speed and low memory requirement, PatchmatchNet can process higher resolution imagery and is more suited to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dc95f29479c0f1a86745dce7f243f81
http://arxiv.org/abs/2012.01411
http://arxiv.org/abs/2012.01411
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030584511
ECCV (1)
ECCV (1)
Over the last years, visual localization and mapping solutions have been adopted by an increasing number of mixed reality and robotics systems. The recent trend towards cloud-based localization and mapping systems has raised significant privacy conce
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb59462888db93d5c286f93cebbac175
https://doi.org/10.1007/978-3-030-58452-8_20
https://doi.org/10.1007/978-3-030-58452-8_20
Publikováno v:
ICCV
Augmented/mixed reality and robotic applications are increasingly relying on cloud-based localization services, which require users to upload query images to perform camera pose estimation on a server. This raises significant privacy concerns when co
Publikováno v:
CVPR
We propose a novel method for the geometric registration of semantically labeled regions. We approximate semantic regions by ellipsoids, and leverage their convexity to formulate the correspondence search effectively as a constrained optimization pro
Publikováno v:
IROS
We present a system to generate building information models (BIMs) of house interiors from 3D scans. The strength of our approach is its simplicity and low runtime which allows for mobile processing applications. We consider scans of single floor, Ma
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics, 23 (11)
We present a real-time method for rendering novel virtual camera views from given RGB-D (color and depth) data of a different viewpoint. Missing color and depth information due to incomplete input or disocclusions is efficiently inpainted in a tempor
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464831
ECCV (8)
ECCV (8)
We propose a novel prior for variational 3D reconstruction that favors symmetric solutions when dealing with noisy or incomplete data. We detect symmetries from incomplete data while explicitly handling unexplored areas to allow for plausible scene c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::708102989777f34ab32b2f5906259ad1
https://doi.org/10.1007/978-3-319-46484-8_19
https://doi.org/10.1007/978-3-319-46484-8_19