Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Chee Kwang Quah"'
Autor:
Li Wang, Ruifeng Li, Jingwen Sun, Xingxing Liu, Lijun Zhao, Hock Soon Seah, Chee Kwang Quah, Budianto Tandianus
Publikováno v:
Sensors, Vol 19, Iss 19, p 4092 (2019)
To autonomously move and operate objects in cluttered indoor environments, a service robot requires the ability of 3D scene perception. Though 3D object detection can provide an object-level environmental description to fill this gap, a robot always
Externí odkaz:
https://doaj.org/article/377eafc35d234c6f96cb88f49c789190
Autor:
Li Wang, Ruifeng Li, Hezi Shi, Jingwen Sun, Lijun Zhao, Hock Soon Seah, Chee Kwang Quah, Budianto Tandianus
Publikováno v:
Sensors, Vol 19, Iss 4, p 893 (2019)
Environmental perception is a vital feature for service robots when working in an indoor environment for a long time. The general 3D reconstruction is a low-level geometric information description that cannot convey semantics. In contrast, higher lev
Externí odkaz:
https://doaj.org/article/72c28be309254f188e788f86def25715
Publikováno v:
International Workshop on Advanced Imaging Technology (IWAIT) 2020.
We propose a scalable AR (Augmented Reality) multiplayer robotic platform, which enables multiple players to control different machines (a drone and a robot) in shared environments, i.e virtual and real environments. We use state-of-theart visual SLA
Autor:
Budianto Tandianus, Jingwen Sun, Lijun Zhao, Li Wang, Chee Kwang Quah, Hock Soon Seah, Ruifeng Li
Convolutional neural network (CNN)-based methods, which train an end-to-end model to regress a six degree of freedom (DoF) pose of a robot from a single red–green–blue (RGB) image, have been developed to overcome the poor robustness of robot visu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bc577d65f492283f6194616c2329127
https://hdl.handle.net/10356/147613
https://hdl.handle.net/10356/147613
Autor:
Chee Kwang Quah, Ruifeng Li, Lijun Zhao, Hock Soon Seah, Xingxing Liu, Jingwen Sun, Budianto Tandianus, Li Wang
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 19
Sensors, Vol 19, Iss 19, p 4092 (2019)
Sensors
Volume 19
Issue 19
Sensors, Vol 19, Iss 19, p 4092 (2019)
To autonomously move and operate objects in cluttered indoor environments, a service robot requires the ability of 3D scene perception. Though 3D object detection can provide an object-level environmental description to fill this gap, a robot always
Autor:
Hock Soon Seah, Ruifeng Li, Chee Kwang Quah, Jingwen Sun, Budianto Tandianus, Hezi Shi, Lijun Zhao, Li Wang
Publikováno v:
Sensors, Vol 19, Iss 4, p 893 (2019)
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 4
Sensors (Basel, Switzerland)
Sensors
Volume 19
Issue 4
Environmental perception is a vital feature for service robots when working in an indoor environment for a long time. The general 3D reconstruction is a low-level geometric information description that cannot convey semantics. In contrast, higher lev
Publikováno v:
ICARCV
Relocalization is one of the necessary modules for mobile robots in long-term autonomous movement in an environment. Currently, visual relocalization algorithms mainly include feature-based methods and CNN-based (Convolutional Neural Network) methods
Autor:
Li Wang, Ruifeng Li, Jingwen Sun, Hock Soon Seah, Chee Kwang Quah, Lijun Zhao, Budianto Tandianus
Publikováno v:
Sensors & Materials; 4/10/2020, Vol. 32 Issue 4, Part 1, p1245-1259, 15p
Publikováno v:
Computer Graphics Forum. 32:285-294
Producing traditional animation is a laborious task where the key drawings are first drawn by artists and thereafter inbetween drawings are created, whether it is by hand or computer-assisted. Auto-inbetweening of these 2D key drawings by computer is
Publikováno v:
IEEE Transactions on Multimedia. 15:106-119
Compared to monocular pose tracking, 3D articulated body pose tracking from multiple cameras can better deal with self-occlusions and meet less ambiguities. Though considerable advances have been made, pose tracking from multiple images has not been