Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Aleksander Holynski"'
Publikováno v:
CVPR
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video. We target scenes with continuous fluid motion, such as flowing water and billowing smoke. Our method relies on the observatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1497c280880be282e4d0faa8d5d31c18
https://doi.org/10.1109/cvpr46437.2021.00575
https://doi.org/10.1109/cvpr46437.2021.00575
Autor:
Aleksander Holynski, Johannes Kopf
Publikováno v:
ACM Transactions on Graphics. 37:1-11
Current AR systems only track sparse geometric features but do not compute depth for all pixels. For this reason, most AR effects are pure overlays that can never be occluded by real objects. We present a novel algorithm that propagates sparse depth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79e91b6817ee2bcee55810501ed43923
https://doi.org/10.1145/3272127.3275083
https://doi.org/10.1145/3272127.3275083
Publikováno v:
CVPR
We address the dual problems of novel view synthesis and environment reconstruction from hand-held RGBD sensors. Our contributions include 1) modeling highly specular objects, 2) modeling inter-reflections and Fresnel effects, and 3) enabling surface
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0ad8f5a76d7e713e08063d8e80d68e3e
http://arxiv.org/abs/2001.04642
http://arxiv.org/abs/2001.04642
Autor:
Igor Fedorov, Juan, Carlos Niebles, Aleksander Holynski, Ardalan Khosrowpour, Mani Golparvar-Fard
Publikováno v:
Construction Research Congress 2014.
This paper presents a new method for activity analysis of construction workers using inexpensive RGB+depth sensors. This is an important task as no current workface assessment method can provide detailed and continuous information to help project man
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::192833731d907ed73aed38e326e845e3
https://doi.org/10.1061/9780784413517.075
https://doi.org/10.1061/9780784413517.075