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Seminar by Prof Peter Olver, University of Minnesota – Wednesday 14th March 2012
The ACVT is pleased to welcome Professor Peter Olver, from the University of Minnesota, who will be visiting on Wednesday 14th March 2012. Prof Olver will lead the below seminar, to be held in the basement of the Ingkarni Wardli building, B19 Teaching Suite 3 at 11.10am. Title: Invariant histograms and signatures for object recognition and symmetry detection Abstract: […]
Professor Ian Reid appointed from September 2012
The Australian Centre for Visual Technologies is pleased to announce the appointment ofProfessor Ian Reid from September 2012. Ian is currently a Professor of Engineering Science, running the Active Vision Group at the University of Oxford and will bring to the University of Adelaide an internationally recognised research record in the areas of Computer Vision and visual technologies. Professor Reid’s appointment will ensure that […]
Learning to see in 3D (DP120101172)
ACVT has been awarded a 3 year ARC Discovery Grant valued at $330,000. The CIs on the project are Prof. Anton van den Hengel and Dr Anthony Dick. The aim of this project is to collect and analyse a large collection of digital images and their associated depth maps, in order to formulate a method […]
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‘Best Colour Paper’ awarded to David Sandberg
Congratulations to David Sandberg, programmer for SNAP Network Surveillance, who has won the ‘Best Colour Paper’ prize awarded by Canon Information Systems Research Australia (CiSRA) at the recent 2011 DICTA conference. David’s paper, ‘Model-Based Video Coding using Colour and Depth Cameras’ can be viewed here sandberg_dicta11[1]
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ACVT welcomes Professor Ba-Ngu Vo, UWA
On Monday 5th December, the School of Computer Science and the ACVT welcomes Professor Ba-Ngu Vo, from the University of WA. He will be leading the below seminar: Title: Error metric for multi-object estimation. Abstract: The concept of a miss-distance, or error, between a reference quantity and its estimated value, plays a fundamental role in any estimation/filtering problem. However, […]
The 2011 Pacific-Rim Conference on Multimedia – Keynote Speech
Prof van den Hengel has been invited to give a keynote speech at this year’s Pacific-Rim Conference on Multimedia (PCM) to be held from 20th – 22nd Dec 2011 in Sydney. Pacific-Rim Conference on Multimedia (PCM) is a major annual international conference organized as a forum for the dissemination of state-of-the-art technological advances and research results in the fields of […]
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ACVT hosts model-fitting seminars, Monday 12th December 2011
On Monday 12th December, the ACVT welcomes two visitors: Professor Kenichi Kanatani, Professor of Computer Science at Okayama University, Japan, and Dr Andrew Comport, “Chargé de Recherches” (Tenure Researcher) with the Centre National de Recherche Scientifique (CNRS) in France. Along with Professor Wojciech Chojnacki, Senior Research Fellow in the School of Computer Science at The University […]
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The Australian Summit on 3D Multimedia – Invited Presentation
Prof van den Hengel has been invited to attend the Australian Summit on 3D Multimedia, held in Wollongong in December 2011. This two-day event includes invited presentations by international and Australian experts from both academic research institutions and the industry. The Summit is the premier forum presenting the leading edge advances in 3D multimedia acquisition, analysis, […]
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Compressive Sensing Based Probabilistic Graphical Models (DE120101161)
Dr Qinfeng Shi of the ACVT has been awarded a 3 year ARC DECRA Grant valued at $375,000. Probabilistic Graphical Models (PGMs) use graphs to represent the interactions between random variables and provide a formalism by which to represent complex probabilistic relationships. Despite the success of PGMs in many fields, the learning on real industrial […]
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ARC Success! Congratulations to Prof Anton van den Hengel and Dr Anthony Dick
Congratulations to Anton and Anthony who have secured $330,000 of Discovery Project funding in the 2012 ARC round! TITLE: Learning to see in 3D PROJECT SUMMARY: The project aims to endow machine vision with an ability we, as humans, use almost constantly: to judge 3D properties from a 2D image. This extremely useful ability will be applied […]
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