Immersive Visualisation with Point Cloud Data

Immersive Visualisation of Urban Environments using Point Cloud Data

Degree type


Closing date

18 July 2022



Citizenship requirement


About the research project

This research will consider how point cloud data and immersive visualisation technologies might contribute to the sustainable development and management of built and natural environments in urban areas. It will use sites within the Northern and Southern Transformation Projects of the University of Tasmania as the context of investigation.

Rapidly increasing density and accuracy of 3D point cloud data makes it timely to investigate the potential use of immersive Virtual Reality (VR) applications. VR offers the potential for users to transfer their acquired skills to within a 3D and 1:1 scaled immersive environment, constructed from the point cloud data. For example, inventory field operators have been using VR to perform inventory assessment tasks with high-resolution point cloud data acquired from the forest (Chinthammit, 2019). While users feel immersed and can use their existing skills in a point cloud environment, the accuracy of the assessment tasks performed in VR was inferior to the work performed in the field. The findings prompt the importance of understanding how users perceive and make decisions within an immersive point cloud environment. This research will investigate fundamental visualisation elements such as depth perception, distance estimation and structure estimation of VR representations of point cloud data of urban environments.

Applicants should suggest a provisional project scope that includes (1) an urban site/s from the Northern and Southern Transformation Projects, (2) a set of point cloud characteristics (density, accuracy and precision) and (3) an application domain from within the built environment domain (design, construction, assessment, management and conservation) that would benefit from immersive visualisation. Specifically, the research will look at human perception and task efficacy in relation to practical uses of the point cloud data in the chosen domain. Potential use-cases include conservation and management of built and natural heritage in the urban domains of the transformation projects.

Primary Supervisor

Meet Dr Winyu Chinthammit


Applicants will be considered for a Research Training Program (RTP) scholarship or Tasmania Graduate Research Scholarship (TGRS) which, if successful, provides:

  • a living allowance stipend of $28,854 per annum (2022 rate, indexed annually) for 3.5 years
  • a relocation allowance of up to $2,000
  • a tuition fees offset covering the cost of tuition fees for up to four years (domestic applicants only)

If successful, international applicants will receive a University of Tasmania Fees Offset for up to four years.

As part of the application process you may indicate if you do not wish to be considered for scholarship funding.


Applicants should review the Higher Degree by Research minimum entry requirements.

Selection Criteria

The project is competitively assessed and awarded.  Selection is based on academic merit and suitability to the project as determined by the College.

Additional essential selection criteria specific to this project:

  • Experience with VR research and development
  • Knowledgeable in human perception

Additional desirable selection criteria specific to this project:

  • Working experience with point cloud data
  • Knowledgeable with urban design and planning
  • Strong software programming skills

Application process

There is a three-step application process:

  1. Select your project, and check you meet the eligibility and selection criteria;
  2. Contact the Primary Supervisor, Dr Winyu Chinthammit to discuss your suitability and the project's requirements; and
  3. Submit an application by the closing date listed above.
    • Copy and paste the title of the project from this advertisement into your application. If you don’t correctly do this your application may be rejected.
    • As part of your application, you will be required to submit a covering letter, a CV including 2 x referees and your project research proposal.

Following the application closing date applications will be assessed within the College. Applicants should expect to receive notification of the outcome by email by the advertised outcome date.

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