Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Christian Frueh"'
Publikováno v:
Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26aeab0052d817b8f7ef0458912d26dd
https://doi.org/10.1145/3526113.3545676
https://doi.org/10.1145/3526113.3545676
Publikováno v:
CVPR
In this paper, we present a video-based learning framework for animating personalized 3D talking faces from audio. We introduce two training-time data normalizations that significantly improve data sample efficiency. First, we isolate and represent f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4f7cf32789a33e7275eebdb2ff345ad
https://doi.org/10.1109/cvpr46437.2021.00278
https://doi.org/10.1109/cvpr46437.2021.00278
Publikováno v:
SIGGRAPH Talks
Virtual Reality (VR) has advanced significantly in recent years and allows users to explore novel environments (both real and imaginary), play games, and engage with media in a way that is unprecedentedly immersive. However, compared to physical real
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b2a0da15691534b515b306e4b7b5d99c
https://doi.org/10.1145/3084363.3085083
https://doi.org/10.1145/3084363.3085083
Autor:
Richard F. Lyon, Carole Dulong, Abhijit Ogale, Josh Weaver, Dragomir Anguelov, Luc Vincent, Stephane Lafon, Daniel Joseph Filip, Christian Frueh
Publikováno v:
Computer. 43:32-38
Street View serves millions of Google users daily with panoramic imagery captured in hundreds of cities in 20 countries across four continents. A team of Google researchers describes the technical challenges involved in capturing, processing, and ser
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::00f4fcfbf7148d85b6e0924218f9e4d5
https://doi.org/10.1109/mc.2010.170
https://doi.org/10.1109/mc.2010.170
Autor:
Avideh Zakhor, Christian Frueh
Publikováno v:
CVPR Workshops
In this paper, we describe an approach to simultaneously capture visual appearance and depth of a time-varying scene. Our approach is based on projecting structured infrared (IR) light. Specifically, we project a combination of (a) a static vertical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99c9a06c6fcc10282c350077eeee0e85
https://doi.org/10.1109/cvpr.2005.428
https://doi.org/10.1109/cvpr.2005.428
Autor:
Avideh Zakhor, Christian Frueh
Publikováno v:
CVPR (2)
Web of Science
Web of Science
In this paper, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for bird's-eye view. A close-range facade model is acquired at the ground level by driving a ve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1269f8584250493dc2f7f058c9b5dd61
https://doi.org/10.1109/cvpr.2003.1211517
https://doi.org/10.1109/cvpr.2003.1211517
Autor:
Avideh Zakhor, Christian Frueh
Publikováno v:
SIGGRAPH
In this paper, we present a fast, automated approach to generating a highly detailed, textured 3D building facade model. This model is acquired at the ground level by driving a vehicle equipped with laser scanners and a digital camera under normal tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::763f7c8516dac61602f1252744b87abc
https://doi.org/10.1145/965400.965522
https://doi.org/10.1145/965400.965522
Autor:
Christian Frueh, Avideh Zakhor
Publikováno v:
Visual Content Processing and Representation ISBN: 9783540200819
VLBV
Web of Science
VLBV
Web of Science
In this paper, we present a fast approach to automated generation of textured 3D city models with both high details at ground level, and complete coverage for bird’s-eye view. A close-range facade model is acquired at the ground level by driving a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ab02f1bb6cccbaf49476b9857b32e27
https://doi.org/10.1007/978-3-540-39798-4_39
https://doi.org/10.1007/978-3-540-39798-4_39
