Zobrazeno 1 - 10
of 229
pro vyhledávání: '"Guijin Wang"'
Publikováno v:
Sensors, Vol 23, Iss 11, p 5194 (2023)
Legged robots can travel through complex scenes via dynamic foothold adaptation. However, it remains a challenging task to efficiently utilize the dynamics of robots in cluttered environments and to achieve efficient navigation. We present a novel hi
Externí odkaz:
https://doaj.org/article/e83ecaf012cc4888ba8bf49d906b7a90
Publikováno v:
IEEE Access, Vol 8, Pp 53072-53081 (2020)
We present a light and efficient approach named Latent Fusion network for fast and accurate hand pose estimation from a single depth image. Our method innovatively decomposes 3D joint regression into 2D plane localization and 1D axis estimation from
Externí odkaz:
https://doaj.org/article/6e68f11fb6a54e5ba8d8a93cbf2af288
Publikováno v:
Sensors, Vol 23, Iss 3, p 1612 (2023)
High-speed detection of abnormal frames in surveillance videos is essential for security. This paper proposes a new video anomaly–detection model, namely, feature trajectory–smoothed long short-term memory (FTS-LSTM). This model trains an LSTM au
Externí odkaz:
https://doaj.org/article/566a0553a9554ad899e4f57968971106
Publikováno v:
Sensors, Vol 23, Iss 1, p 248 (2022)
Light detection and ranging (LiDAR) is often combined with an inertial measurement unit (IMU) to get the LiDAR inertial odometry (LIO) for robot localization and mapping. In order to apply LIO efficiently and non-specialistically, self-calibration LI
Externí odkaz:
https://doaj.org/article/0862d6aaf19d425cb298238de898daeb
Autor:
Tingting Lv, Yifang Yuan, Jing Yang, Guijin Wang, Lingyun Kong, Huijuan Li, Xingjie Li, Yingxian Sun, Xuewen Li, Zheng Zhang, Xiaoshu Cheng, Lirong Wu, Xuerui Tan, Bing Han, Hua Li, Zhaoguo Zhang, Jiayu Wang, Yangfeng Wu, Yanfang Wang, Jihong Guo, Ping Zhang
Publikováno v:
Annals of Noninvasive Electrocardiology, Vol 26, Iss 5, Pp n/a-n/a (2021)
Abstract Background Several ECG criteria have been widely used for diagnosis of left ventricular hypertrophy (LVH) in clinical practice. However, their performance in a general Chinese population is limited. Methods and results A multi‐stage, strat
Externí odkaz:
https://doaj.org/article/ff9439b25eb64f3fb93e192ff6a5b82b
Publikováno v:
IEEE Access, Vol 7, Pp 167672-167682 (2019)
Focus stacking is a promising computational technique to extend depth of field by fusing images focused at different focal planes. However, existing focus stacking methods could not cope with the blurring-effect problem produced in structural edges,
Externí odkaz:
https://doaj.org/article/50cb41d5636f4c0fa78ac0d77ca94ab8
Publikováno v:
IEEE Access, Vol 6, Pp 43425-43439 (2018)
3-D hand pose estimation is an essential problem for human-computer interaction. Most of the existing depth-based hand pose estimation methods consume 2-D depth map or 3-D volume via 2-D/3-D convolutional neural networks. In this paper, we propose a
Externí odkaz:
https://doaj.org/article/1432db650c854ce3a655736e31e33718
Publikováno v:
IEEE Access, Vol 6, Pp 73357-73369 (2018)
This paper proposes a drop transformation networks (DTNs), a novel framework of learning transformation-invariant representations of images with good flexibility and generalization ability. Convolutional neural networks are a powerful end-to-end lear
Externí odkaz:
https://doaj.org/article/14e803b61cfa4ab6b4d9233356d23e16
Publikováno v:
Sensors, Vol 19, Iss 22, p 4845 (2019)
Three dimensional (3D) imaging technology has been widely used for many applications, such as human−computer interactions, making industrial measurements, and dealing with cultural relics. However, existing active methods often require both large a
Externí odkaz:
https://doaj.org/article/a6b18bf672ed405f8790a3e6980a93d9
Publikováno v:
PLoS ONE, Vol 11, Iss 2, p e0148783 (2016)
Atherosclerosis is among the leading causes of death and disability. Combining information from multi-modal vascular images is an effective and efficient way to diagnose and monitor atherosclerosis, in which image registration is a key technique. In
Externí odkaz:
https://doaj.org/article/2fe7f7c5b133493786b0de881525bb9e