Our mission is to partner with research groups and industry to transform visualisation practice, by innovating and promoting new paradigms in immersive, collaborative visualisation of data and environments.
MIVP operates a number of Monash University's advanced, immersive and large scale visualisation facilities, ranging from the ultra-scale CAVE2, to personal head-mounted virtual reality (VR) devices. We connect you - researchers and industry - to nascent display and interaction technologies that stand to change the way you visualise, comprehend and analyse your big data.
Feature: MIVP Self Service
25 October 2019
Comprising major visualisation capabilities, grown from the ground-up by the team at MIVP, Self-service allows users to upload and visualise data on the web, in the CAVE2, VR and in some cases AR; and to run two variants of Windows in the CAVE2.
The new MIVP Self-service capability provides improved accessibility to Monash's high-end display screens, and advanced, immersive visualisation. With lightweight registration, booking and training requirements, Self-service is a way to access the MIVP capabilities simply and easily.
Self-service is free of charge to Monash academic staff and higher-degree research students.
Previs in a web browser
Big windows in the CAVE2
Read more stories...
Facilities and Capabilities
Our graphics programmers are gurus in the latest shader technology, enabling them to create super-fast algorithms that can render your largest data sets at interactive frame rates.
Our focus in the fast-evolving space of VR is on developing capabilities for visualising big data, and creating possibilities for virtual team work.
MIVP operate some of the most advanced AV equipment at Monash, and can contribute to the design and operation of your next smart space.
The Monash CAVE2 is an immersive hybrid 2D and 3D virtual reality environment, showcasing Monash’s leadership in the data visualisation domain.
Smaller, more flexible visualisation displays, including TRIO and CURV and transparent touch displays, are supported for development use and ideation.
Our expertise in scientific programming is broad, with special focus areas in image processing and analysis, acceleration of computational codes, and solving spatial problems.