We're recruiting a 3-year Postdoctoral Research Associate in robotic vision for high-fidelity drone-based 3D reconstruction. Position closes Jan 8th, 2024 Sydney Time. Details at the University Job Site here. This is one of multiple postdoctoral and PhD roles that are part of the ARIAM Research Hub. All postings will be available at the ARIAM Hub website.

We're recruiting a Postdoctoral Researcher in Robotic Imaging for In-Orbit Satellite Servicing, closing 22 Nov, 2023 Sydney Time.

A warm welcome to our two latest team members, Bina Rajan who is starting her PhD, and Alexandre Cardaillac who has started a postdoctoral appointment. Both are working in novel imaging systems as part of the ARIAM Research Hub.

We're recruiting a 3-year Postdoctoral Researcher in robotic vision for high-fidelity drone-based 3D reconstruction, closing 16 Oct, 2023 Sydney Time. More roles coming, see ARIAM Hub.

Congrats to Dr Avie who has completed the requirements for the award of a PhD! Avie did a fantastic job in her work on low-light imaging, culminating in mililux-level drone-based mapping with standard off-the-shelf hardware. Watch for a few more papers soon... =)

Join us for a (southern-hemisphere) Summer Research Internship! Use the link on the right to Engineering summer projects, then look for the satellite docking, active depth estimation and privacy-preserving robotic vision projects.

Lab hike today, Coogee to Bondi, great to unwind ahead of the new semester!

Congrats Adam Taras and our collaborators Peter Corke and Niko Suenderhauf from QCR on winning the ICRA23 MACTAS workship best poster award. Poster here, paper here.

Congrats to Ahalya Ravendran for successfully defending her thesis on Robotic Burst Imaging!

We're recruiting a 3-year Postdoctoral Research Associate in Underwater Computational Imaging, closes 16 May, 2023 Sydney Time. Details at the University Job Site here. This is one of multiple postdoctoral and PhD roles opening soon as part of the ARIAM Research Hub. All postings will be available at the ARIAM Hub website.

Welcome to our latest team member, Dr Danish Khan, who will be working in novel imaging systems with ARIA, Augmented Reality in Audio for the vision impaired.

Thrilled to be a part of the HAL Tech Central Human Augmentation Laboratory with USYD, UTS, ARIA, and others, see the news release here.

Congrats to Ryan Griffiths and Jack Naylor whose work has been accepted to ICRA 2023. Toward interpreting novel imaging devices, we jointly learn view synthesis, odometry, and camera model. Preprint, code and data are here.

Two fully funded PhDs in underwater robotic imaging with the ARIAM research hub, details here. The two roles advertised here are part of a larger opportunity that will hire and bring together tens of PhD students and multiple Postdocs. For more on ARIAM, our partners, and opportunities to join the hub please watch this site and the ARIAM Research Hub website.

See you at ACRA 2022 in Brisbane next week! Adam Taras will be presenting our work on time of flight fields. What happens when you make a light field camera out of time of flight cameras? We show you can get significant gains in accuracy and robustness to specular reflection. Paper, source, and dataset are available here.

The Robotic Imaging group will present some of our recent work on Nov 17th 1pm Sydney Time. Join us online or in-person, RSVP here.

Congrats Jack Naylor on being awarded joint Best Speaker at University of Sydney's first Engineering HDR Conference. Congrats also to our school's fantastic team of PhD students for organising this Faculty-wide event by HDRs for HDRs.

Welcome to our two latest team members, Nikolai Goncharov and Oliver Yan are both starting their PhDs with us this month.

Fully funded PhD in position in underwater robotic imaging, details here.

Multiple PhD positions opening soon as part of the ARIAM research hub, lodge your expression of interest now.

Jobs: PhD and Postdoctoral roles in Augmented Reality for the Visually Impaired. Project ARIA, Augmented Reality in Audio, seeks to endow the visually impaired with a richer sense of their surroundings using a wearable augmented reality device. Applications due 13 Aug 2022, links to posting here.

Congrats to Adam Taras on winning the top undergrad poster at the IEEE UNITE NSW event!

Congrats to Jack Naylor on receiving an SPIE Optics and Photonics Education Scholarship!

Such a pleasure to deliver a talk today at CMU Robotics and to reunite with my colleague and friend Matt O'Toole, fellow survivor of Stanford and lover of computational imaging.

Jobs: Fully Funded PhD Position in light field imaging. The project aims to develop new visual sensing approaches for autonomous and assisted driving. Applications close Jun 19, 2022, details here.

Come to Avie Ravendran's talk today at ICRA in room 113C at 10:40, and our poster in the poster session until 12:30, look for the 113C sign or the poster with the koalas on it (while they last =)

Accepted to Computer Vision and Image Understanding (CVIU): Semantically Accurate Super-Resolution with GANs. We show that multi-modal learning of super-resolution and semantic labelling improves performance at both tasks, with demonstration on aerial imagery for remote sensing. Preprint here.

It was great catching up with colleagues and delivering an in-person seminar, the first in what seems like forever, at QUT Robotics! For more on the upcoming ITRH research hub, follow ARIAM Hub.

Looking for an Australian Winter (Jun-Aug) research project with us? The Robotic Imaging Lab has up to two positions in open-source robotic vision with 4D light field cameras. Deadline 24 April 2022.

It was a pleasure lecturing on light fields the past two Sydney evenings (TampereUni mornings) to Plenoptima, the Marie Sklodowska-Curie Innovation Training Network on Plenoptic Imaging. I expect to see great things from this program!

Jobs: Fully Funded PhD Position in Underwater Robotic Imaging. The project aims to develop new visual sensing approaches for nimble underwater drones. Applications due Jan 23, 2022, details here.

Thrilled to receive a Sydney University SUPRA supervisor of the year award! Thanks to my wonderful team for the nomination, especially Avie Ravendran. In Engineering PhD students are our stars: they do the research and are the next generation of leaders and innovators.

Accepted to RA-L: Avie's paper on burst imaging for low-light 3D reconstruction. Preprint, dataset and code are at the project page here.

Just Announced: I could not be more excited to be part of this successful CRC-P with Project ARIA! This program will develop a visual-spatial prosthesis that lets the blind see using sound... Augmented Reality in Audio!

Check out our latest work on using burst imaging for low-light 3D reconstruction. Preprint, dataset and code are at the project page here.

Excited to keynote at ICVS 2021 alongside Peter Corke @QUTRobotics and Renaud Detry @renauddetry! It's virtual and registration is free!

Thrilled to be leading the Sensing & Perception theme of the new @arc_gov_au Research Hub in Robotic Systems for Real-Time Asset Management! It's a fantastic team spanning @SIRISRobotics @Eng_IT_Sydney @QUTRobotics @anucecs @ANSTO @abysssolutions @emesent @nearmap and others!

Accepted to RA-L: Refractive Light Field Features. We allow robotic vision to operate in previously prohibitive conditions by finding features in the patterns of light passing through transparent objects. This drop-in replacement for SIFT allows 3D reconstructions where SIFT / LiFF fail, and yields more accurate camera trajectory estimates and 3D reconstructions in complex refractive scenes. Preprint, code, and dataset are here.

Happy to be Guest Editor for the Signal Processing Image Communication Special Issue on Light Field Imaging. Topics include AR/VR, microscopy, and Robotic imaging using light fields. #ComputationalImaging #lightfields

Looking for an Australian winter (June-August) research internship with us? Applications are now live for 6-week scholarships, deadline May 5th.

Our latest paper submission is now available: unsupervised learning of depth and odometry from sparse LF video cameras. Preprint, dataset and code are at the project page here.

Taihua Wang's paper on classifying visually similar objects by learning multiplexed illumination patterns has been published at OSA Applied Optics, preprint, dataset, and code are at the project page here.

It was a blast hosting the Sydney node of this year's Robotic Vision Summer School! #RVSS2021 wrapped yesterday, ~70 attendees online from around the globe and in-person at QUT, ANU, Monash, Adelaide and Sydney. Congrats to all workshop challenge teams and the Sydney-based winners, The Perceptrons! @RoboticVisionAU @RoboticVisionSS

Another international effort with the hardware implementation team, this paper gives an overview of hardware acceleration for real-time light field image and video processing. Paper at IEEE Transactions on Circuits and Systems II: Express Briefs.

Pleased to be continuing this decades-old collaboration in hardware implementation of vision algorithms with colleagues who now span the globe! This one adapts the classical concepts of wave-digital filters to the 4D domain to carry out real-time hardware-accelerated depth filtering in light fields. Paper at Multidimensional Systems and Signal Processing.

The group's first undergraduate-lead publication has just been submitted! Congrats to Taihua Wang for his work on learning multiplexed illumination codes to help classify visually similar objects. Preprint, code, and dataset are here.

Looking for an Australian Summer research project with us? The Engineering Vacation Research Internship Program applications are now live, deadline is 14 October 2020.

Happy to announce the Light Field Toolbox v0.5 is now available! New features include super-resolved refocus, new display functions, support for ESLF files, and improved decode and calibration performance and speed. The toolbox and datasets are here.

Congratulations Dr Dorian Tsai for successfully completing his PhD in robotic vision! It was a pleasure co-supervising Dorian with Peter Corke and Thierry Peynot @RoboticVisionAU @Eng_IT_Sydney @SIRISRobotics @IFE_QUT

Really excited to share our latest work: a multi-sensor spherical-lens light field camera, paper here (pdf here). This builds on our earlier sweeping prototoype extending to multiple contiguous sensors.

A year ago today I joined @SIRISRobotics at the University of Sydney. To celebrate, here's four things you didn’t know about Lorikeets.

The first students to use the robotic imaging lab are completing their winter research internships today. Congrats all, and thanks for all your hard work!

Congrats to our teams for placing 2nd and 3rd at this year's QUT Droid Racing Challenge!

CVPR's just wrapped up. LiFF and associated dataset were very well received, and it was great to meet so many fellow light field and computational imaging researchers (with a computational imaging paper taking the best paper award this year!) Check out LiFF, a light field feature, here.

I'll be at ICRA this week in Montreal. If you're there and want to chat, get in touch! Also, come check out our poster on distinguishing refracted features using light field cameras, Monday 16:15 - 17:30, rm 220 pod 24, MOC1-24, Paper here.

Accepted to CVPR 2019! LiFF Light Field Features in Scale and Depth. Better at low light, occlusions, and higher-order light transport effects, and ~18x faster than SIFT. Preprint, code, and dataset are here.

Our paper on refraction-tolerant SfM using light field cameras was accepted to RAL and #icra2019! Total pleasure working with Peter Corke, Thierry Peynot, and Dorian Tsai from Robotic Vision Australia, project page here.

Excited to announce our latest work, LiFF: a light field feature detector and descriptor with per-feature depth. Better at low light, occlusions, and higher-order light transport effects, and ~18x faster than SIFT. Preprint, code, and dataset are at

New postdoctoral opportunity posted here, closing date is Jan 13, 2019, Sydney time. We're also on the lookout for excellent PhD students to join the Robotic Imaging team.

Woohoo, our paper on distinguishing refracted features in light fields for SfM was accepted to RA-L. Congrats @Tsai_D! Fingers crossed on the ICRA'19 decision.

Excited to announce two new light field datasets with @Stanford and @UCSD at today's Visual and Experiential Computing event @intel. >7200 indoor and outdoor light fields with multiple views of each scene.

First 2 weeks as faculty @Sydney_Uni. Highlights: Engaged students, the marine robotics group making waves in Tasmania, decorating the office, designing a robotic optics lab; TODO: find convenient coffee, build lab, publish papers, connect with industry, get grants.

Thanks to the organisers of 3dtv-con, my first conference and keynote on a cruise!

Had a fantastic week teaching and learning at the IEEE SPS Summer School and ETN-FPI Training School on "Light field Data Representation, Interpretation, and Compression". My lecture materials are available here, videos coming soon.

I am thrilled to announce that I have accepted a faculty position in the School of Aerospace, Mechanical, and Mechatronic Engineering at the University of Sydney! @Sydney_Uni @Eng_IT_Sydney

Congrats to @anjalijai on her "Innovators Under 35" success with the Light field plenoptoscope project! Great to see recognition of this fantastic work! See her talk here.

Won a Distinguished Poster Award for the 2nd year running at The Stanford Center for Image System Engineering (SCIEN) Affiliates Meeting. Thanks Intel and Huawei for your support! Event Photos, Last Year's Event

I was featured on the SIGGRAPH Asia twitter feed, presenting the fast-forward for SpinVR: Woo! An exciting and illuminating summary of #SIGGRAPHAsia 2017's Technical Papers in a span of 2 hours! #Day1OfSIGGRAPHAsia #SAtechpapers

A stimulating week, with great people and ideas @dagstuhl hyperspectral seminar, and a visit to the Max Planck Institute for Informatics.

Spoke on computational imaging in robotics @Berkeley today. Great campus, great audience!

SpinVR Spinning Omnidirectional Stereo Camera Project Page at Stanford, Video, and Paper are now online.

Slides are up for my CVPR:LF4CV talk on light field motion deblurring, project page here.

Our Monocentric Light Field Camera got picked up by the media! It's featured on Engadget, Robotics and Automation News, Futurity, CGTN, Daily Mail, and others here, here, here, and here. See the press release at Stanford here.

Our Spinning Omnidirectional Stereo Camera has been accepted to SIGGRAPH ASIA!

Congrats to team ACRV for winning the 2017 Amazon Robotics Challenge!

CVPR 2017 was terrific, a great location and plenty of stimulating ideas and conversation. Congrats to the organizers of CCD and LF4CV, both fantastic workshops. I had the opportunity to present the Monocentric Light Field Camera at the main conference and at CCD, and Light Field Deblurring at LF4CV.

Not a bad view for finishing up a #cvpr2017 talk. Come to the CCD workshop tomorrow to hear about @stanford's panoramic light field camera!

Website updates: 7 new project stubs are up spanning the four project themes.

Added a project page for my 2015 Transactions on Graphics paper on Volumetric Focus [Project Page]

I'm presenting at the @Stanford SCIEN Colloquium on Jun 7, Packard 101.

Our light field deblurring paper will be presented at the CVPR workshop on light fields for computer vision (LF4CV)! [Project Page]

Tools page is now up, with links to the light field toolbox, and two new tools: a bare-bones renderer, and a plenoptic camera design explorer.

Stanford Computational Imaging got a peek at the @avegant light field AR headset today. Very exciting times ahead!

Very excited to announce our single-lens wide-FOV light field camera, to appear at CVPR in July! [Project Page]

Under construction... please excuse the mess as I build up this website!