Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Akash Bapat"'
Publikováno v:
CVPR
We propose a boundary-aware multi-task deep-learning-based framework for fast 3D building modeling from a single overhead image. Unlike most existing techniques which rely on multiple images for 3D scene modeling, we seek to model the buildings in th
Publikováno v:
CVPR
Traditionally, camera-based tracking approaches have treated rolling shutter and radial distortion as imaging artifacts that have to be overcome and corrected for in order to apply standard camera models and scene reconstruction methods. In this pape
Autor:
Jan-Michael Frahm, Akash Bapat
Publikováno v:
CVPR
We present a novel framework for edge-aware optimization that is an order of magnitude faster than the state of the art while maintaining comparable results. Our key insight is that the optimization can be formulated by leveraging properties of the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a998fc7a8372bb75bc689980e77e3f71
http://arxiv.org/abs/1805.04590
http://arxiv.org/abs/1805.04590
Publikováno v:
IEEE transactions on visualization and computer graphics. 22(11)
To maintain a reliable registration of the virtual world with the real world, augmented reality (AR) applications require highly accurate, low-latency tracking of the device. In this paper, we propose a novel method for performing this fast 6-DOF hea
Publikováno v:
NCC
In this paper, we present a novel iterative median filter based strategy to improve the quality of the depth maps provided by sensors like Microsoft Kinect. The quality of the depth map is improved in two aspects, by filling holes present in the maps