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.

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    No photo of SWAGAT KUMAR
    Photo of YONGHUAI LIU


    Person: Member, Academic


    Research Output

    • 2 Citations
    • 1 h-Index
    • 5 Article
    • 1 Conference proceeding article (ISSN)

    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

  • CS2-Net: Curvilinear Structure Segmentation Network for Medical Images

    Mou, L., Fu, H., Zhao, Y., LIU, YONGHUAI., Cheng, J., Zheng, Y., Su, P., Yang, J., Chen, L., Frangi, A. F. & Liu, J., 21 Oct 2020, In : Medical Image Analysis. 101874.

    Research output: Contribution to journalArticle

  • SHREC 2020: Retrieval of digital surfaces with similar geometric reliefs

    Moscoso Thompson, E., Biasotti, S., Giachetti, A. & LIU, YONGHUAI., 1 Aug 2020, In : Computers and Graphics. 91, p. 199-218 20 p.

    Research output: Contribution to journalArticle

    1 Citation (Scopus)



    • 1 Membership of group/panel

    British Computer Society (External organisation)

    YONGHUAI LIU (Member)

    5 Sep 2019

    Activity: Membership typesMembership of group/panel