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  4. Perceptual Imaging Lab (PILab)

Perceptual Imaging Lab (PILab)

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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.

Inside the UTS Data Arena. Image Aaron Luo.

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

NamePosition

Stuart Perry

Professor                         

Min Xu

Professor

Don Bone

Industry Associate Professor

Wenjing Jia

Associate Professor

Arti Agrawal

Associate Professor

Nico Pietroni

Associate Professor

Eva Cheng

Associate Professor

Daniel Franklin

Associate Professor

Massimo Piccardi 

Professor

Richard Xu

Associate Member, Associate Professor

Industry Prof Barry Drake

Associate Member, Adjunct Professor

Dr Zenon Chaczko

Adjunct Fellow

Dr Jayan Kurian

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 CaiPhD Student
Zexu HuangPhD 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
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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.

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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