Organization profile

Organisation profile

The lab focuses on the topics in the general areas of 3D computer vision, image processing, pattern recognition, visual data analytics, computer graphics, virtual/augmented reality, human sensing and human-robot social interactions. The research is supported by the latest technologies such as  the Computer Augmented Virtual Environment (CAVE) and a range of state-of-the-art devices for data acquisition, output, visualisation, and full immersive experiences including: Tobii Eye X, Vive, Z-Space, Kinects, Hype Box, Emotive, Enobio BCI, Nao Robots, 3D Scanner and printer. It has the following goals:

(i) Connecting with stakeholders to impact society

(ii) Supporting students to test the latest visual computing techniques and acquire research-lead employability skills

(iii) Empowering researchers to solve theoretical and real-world problems in visual computing and utilising virtual and augmented reality technology

It aims to:

(i) Visualise the signal, image, shape and video data and their operations with the modern CAVE and other devices,

(ii) Enhance the visual data for high contrast and removal of unwanted factors,

(iii) Analyse and convert the visual data into semantically meaningful components, models, measurements, relevant knowledge and/or interesting responses and behaviours, and

(iv) Explore data visualisation and AR/VR simulation and applications in the real world such as medical imaging, training, computer aided instruction, CAD, systems automation, additive manufacturing, plant science, robotics, autonomous vehicles, intelligent surveillance, remote sensing, industrial quality assurance, etc.

Fingerprint Dive into the research topics where Visual Computing Lab is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Confocal microscopy Engineering & Materials Science
Bins Engineering & Materials Science
Nerve Fibers Medicine & Life Sciences
Confocal Microscopy Medicine & Life Sciences
Noise Medicine & Life Sciences
Fibers Engineering & Materials Science
Art Medicine & Life Sciences
Pixels Engineering & Materials Science

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Profiles

No photo of SWAGAT KUMAR
20032020
No photo of YONGHUAI LIU

YONGHUAI LIU

Person: Member, Academic

20142021

Research Output 2019 2020

Automated Tortuosity Analysis of Nerve Fibers in Corneal Confocal Microscopy

Zhao, Y., Zhang, J., PEREIRA, ELLA., Zheng, Y., Su, P., Xie, J., Zhao, Y., Shi, Y., Qi, H., Liu, J. & LIU, YONGHUAI., 13 Feb 2020, (Accepted/In press) In : IEEE Transactions on Medical Imaging.

Research output: Contribution to journalArticle

Confocal microscopy
Nerve Fibers
Confocal Microscopy
Noise
Fibers
30 Downloads (Pure)

Histogram of Fuzzy Local Spatio-Temporal Descriptors for Video Action Recognition

Zuo, Z., Yang, L., LIU, YONGHUAI., Chao, F., Song, R. & Qu, Y., 3 Dec 2019, In : IEEE Transactions on Industrial Informatics.

Research output: Contribution to journalArticle

Open Access
File
Bins
Pixels
Feature extraction
Agglomeration
Uncertainty

Projects 2019 2020

Activities 2019 2019

  • 1 Membership of group/panel

British Computer Society (External organisation)

YONGHUAI LIU (Member)
5 Sep 2019

Activity: Membership typesMembership of group/panel