Zobrazeno 1 - 10
of 67
pro vyhledávání: '"Geonho Cha"'
Publikováno v:
IEEE Robotics and Automation Letters. 8:2173-2180
Publikováno v:
IEEE Robotics and Automation Letters. 7:7124-7131
Publikováno v:
Sensors, Vol 14, Iss 3, Pp 5516-5535 (2014)
There is a growing interest in 3D content following the recent developments in 3D movies, 3D TVs and 3D smartphones. However, 3D content creation is still dominated by professionals, due to the high cost of 3D motion capture instruments. The availabi
Externí odkaz:
https://doaj.org/article/9ab0bfdc07764cd09336609bb9acafbe
Publikováno v:
UR
In this paper, we propose a model-based Monte-Carlo Tree Search (model-based MCTS) algorithm for the vehicle planning and control problem. While driving vehicles, we need to predict the future states of other vehicles to avoid collisions. However, be
Publikováno v:
IEEE Robotics and Automation Letters. 3:3308-3315
In this letter, we propose the Interactive Text2Pickup (IT2P) network for human-robot collaboration that enables an effective interaction with a human user despite the ambiguity in user's commands. We focus on the task where a robot is expected to pi
Publikováno v:
Pattern Recognition Letters. 110:51-57
It is generally much harder to reconstruct the 3D structures of a non-rigid object than that of a rigid object, because of the increased degrees of freedom. To overcome the ill-posed nature of this problem, there have been many researches that incorp
Publikováno v:
ICCV
In this paper, we propose 3D unsupervised reconstruction networks (3D-URN), which reconstruct the 3D structures of instances in a given object category from their 2D feature points under an orthographic camera model. 3D-URN consists of a 3D shape rec
Publikováno v:
IEEE transactions on pattern analysis and machine intelligence. 43(2)
Much progress has been made for non-rigid structure from motion (NRSfM) during the last two decades, which made it possible to provide reasonable solutions for synthetically-created benchmark data. In order to utilize these NRSfM techniques in more r
In this paper, we address the problem of estimating a 3D human pose from a single image, which is important but difficult to solve due to reasons, such as self-occlusions, wild appearance changes, and inherent ambiguities of 3D estimation from a 2D c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd4ee8d358385d09a5fac6afdbdd09f2
http://arxiv.org/abs/1803.08190
http://arxiv.org/abs/1803.08190
Publikováno v:
MFI
The eye structure of insects, which is called a compound eye, has interesting advantages. It has a large field of view, low aberrations, compact size, short image processing time, and an infinite depth of field. If we can design a compound eye camera