Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Chen Danpeng"'
Autor:
Chen, Junyi, Ye, Weicai, Wang, Yifan, Chen, Danpeng, Huang, Di, Ouyang, Wanli, Zhang, Guofeng, Qiao, Yu, He, Tong
3D Gaussian Splatting (3DGS) has shown promising performance in novel view synthesis. Previous methods adapt it to obtaining surfaces of either individual 3D objects or within limited scenes. In this paper, we make the first attempt to tackle the cha
Externí odkaz:
http://arxiv.org/abs/2409.06685
Autor:
Chen, Danpeng, Li, Hai, Ye, Weicai, Wang, Yifan, Xie, Weijian, Zhai, Shangjin, Wang, Nan, Liu, Haomin, Bao, Hujun, Zhang, Guofeng
Recently, 3D Gaussian Splatting (3DGS) has attracted widespread attention due to its high-quality rendering, and ultra-fast training and rendering speed. However, due to the unstructured and irregular nature of Gaussian point clouds, it is difficult
Externí odkaz:
http://arxiv.org/abs/2406.06521
Publikováno v:
Virtual Reality & Intelligent Hardware, Vol 1, Iss 4, Pp 386-410 (2019)
Although VSLAM/VISLAM has achieved great success, it is still difficult to quantitatively evaluate the localization results of different kinds of SLAM systems from the aspect of augmented reality due to the lack of an appropriate benchmark. For AR ap
Externí odkaz:
https://doaj.org/article/63c55da091244de8ae79af101e4fda0a
Autor:
Xie, Weijian, Chu, Guanyi, Qian, Quanhao, Yu, Yihao, Li, Hai, Chen, Danpeng, Zhai, Shangjin, Wang, Nan, Bao, Hujun, Zhang, Guofeng
Dense SLAM based on monocular cameras does indeed have immense application value in the field of AR/VR, especially when it is performed on a mobile device. In this paper, we propose a novel method that integrates a light-weight depth completion netwo
Externí odkaz:
http://arxiv.org/abs/2309.04145
Autor:
Chen, Danpeng, Wang, Shuai, Xie, Weijian, Zhai, Shangjin, Wang, Nan, Bao, Hujun, Zhang, Guofeng
In this paper, we propose a tightly-coupled SLAM system fused with RGB, Depth, IMU and structured plane information. Traditional sparse points based SLAM systems always maintain a mass of map points to model the environment. Huge number of map points
Externí odkaz:
http://arxiv.org/abs/2207.01158
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
In Applied Energy 1 September 2019 249:58-66
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
ISMAR
In this work, we propose a tightly-coupled EKF framework for visual-inertial odometry with NIN (Neural Inertial Navigation) aided. Traditional VIO systems are fragile in challenging scenes with weak or confusing visual information, such as weak/repea
Autor:
Xingbin Yang, Hanqing Jiang, Yihao Yu, Chen Danpeng, Xiaojun Xiang, Chenchen Li, Guofeng Zhang, Hujun Bao
Publikováno v:
IEEE transactions on visualization and computer graphics. 27(11)
We present a novel online 3D scanning system for high-quality object reconstruction with a mobile device, called Mobile3DScanner. Using a mobile device equipped with an embedded RGBD camera, our system provides online 3D object reconstruction capabil