The Perceptual Imaging Lab (πLab) works with Industry and Government to develop technologies to improve on the perceived quality and user experience of modern imagery, particularly in the emerging domains of Virtual Reality, Augmented Reality and 3D imaging.
Perceptual Imaging Lab (PILab)
Overview
Driven by key external partnerships, πLab’s goal is to create new technologies to solve current industry problems and open new markets in the areas of:
- 3D scanning technologies
- Perception science applied to Big Data visualisation
- Perception science applied to medical innovations
- Perception science applied to education and cultural heritage
- Perceptual imaging for virtual reality and augmented reality
- Computer vision to allow machines to understand the visual environment
- Optics and light propagation
- Health
The πLab team are growing and have expertise in the areas of 3D scanning, colour, psychophysics, image and signal processing, machine learning, human vision and perception, affective computing, machine learning and optics.
Our team are highly industry focused with a combined experience of over 40 years working on image processing and perceptual quality for companies and organisations such as Canon, Phillips, Defence Science and Technology Group and the CSIRO. We bring this experience to bear on the research we conduct to ensure its relevance to society.
Our people
| Name | Position |
|---|---|
Professor | |
Professor | |
Industry Associate Professor | |
Associate Professor | |
Associate Professor | |
Associate Professor | |
Associate Professor | |
Associate Professor | |
Professor | |
Associate Member, Associate Professor | |
Associate Member, Adjunct Professor | |
Adjunct Fellow | |
Lecturer | |
Prof Myriam Amielh | Professor, Honorary Member |
Rishabh Sharma | PhD Student |
Hoang Cong Quach | PhD Student |
Zhe Luo | PhD Student |
Hassan Bahrami | PhD Student |
| Yuyang Cai | PhD Student |
| Zexu Huang | PhD Student |
Our projects
- Collection Digitisation with the Museum of Applied Arts and Sciences
- Multimedia Affective Computing
- Visual Saliency Estimation
- Road Crack Detection and Classification using Digital Image Processing
- Perceptually optimized plenoptic data presentation and coding
- Light field image reconstruction and synthetic light field image generation
- Classification of Glaucoma in 3D Optical Coherence Tomography
- Learning-based point cloud compression
- Semantic-Aware Simultaneous Localization and Mapping System for Unmanned Aerial Vehicles Using Deep Learning
- VR Technology for Empathy Creation
Working with PILab
πLab is currently seeking industry and academic collaborations to work in the area of 3D scanning, virtual reality, augmented reality, image processing, signal processing, plenoptic technologies, health, transport and perceptual quality and aesthetic aspects of imagery.
Find out more about working with πLab
Studying with PILab
πLab is currently actively seeking high quality students to pursue PhD degrees. Some of the areas we are interested in can be found here.
PILab Supports
UTS-VNU Joint Technology and Innovation Research Centre (JTIRC)
PILab is a supporter of the UTS-VNU Joint Technology and Innovation Research Centre (JTIRC) and other engagements with Vietnam
- Multiple presentations in Vietnam to promote the VR Research within the JTIRC
- Co-supervision of three PhD students from VNU Hanoi
- Hosted the visit of A/Prof Thanh Nguyen from VNU Hanoi in August 2019
- Hosted the visit of Dr Thuy Nguyen from RMIT Vietnam in February 2023
- Discussions with MAAS, Vsmart, AIC Group and Samsung Vietnam and other groups regarding opportunities for collaboration in Vietnam
Women in Engineering and IT (WiEIT)
PILab is a supporter of the Women in Engineering and IT program within the Faculty of Engineering and IT at UTS though our engagement with the WiSR Mentoring Program and Staff Gender Equity Ambassador program.
