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Category: 3D Modelling
The members of the ACVT have been working on recovering shape information from image sets for more than 15 years. Originally stereo and optical flow were the focus, but more recently we have been working a wide range of projects from interactive 3D modelling from image sets to modelling plants from images taken within the Plant Accelerator. Much of the work undertaken in this area has been aimed at making the process of 3D content creation much simpler and accessible. The concept of “User Created Content” is key driver in the research. This has application in a broad range of markets including media and entertainment, simulation, advanced manufacturing etc. This work also important to the area of Augmented Reality.
Twelve papers at CVPR
The ACVT had 12 papers accepted to IEEE Computer Vision and Pattern Recognition 2015 (CVPR’15), one of the top 2 conferences in Computer Vision, which must be an Australian record. In terms of h5-index, CVPR ranks as the 7th venue in all Engineering and Computer Science after Nano and Nature journals. To put this in […]
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ARC Centre of Excellence for Robotic Vision (CE140100016)
ACVT researchers Prof. Ian Reid, Prof. Anton van den Hengel, Associate Prof. Chunhua Shen and Dr. Gustavo Carneiro are part of a team that has been awarded a prestigious ARC Centre of Excellence in Robotic Vision. The Centre has received $19M of funding and will conduct a 7-year program of research with the following focus […]
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Accessing Australia’s Photographic History (LP130101064)
ACVT has been awarded a 2 year ARC Linkage Grant valued at $150,000. The partner organisation is the South Australian Maritime Museum. The CIs on the project are Prof. Anton van den Hengel, Dr Anthony Dick and Prof. Ian Reid. Australian museums have vast collections of photographs documenting our national history. This project proposes an […]
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VideoTrace Patent granted
One of the Videotrace patent applications has just been accepted by IP Australia. It’s Patent Number 2007202157 ABSTRACT A method for generating a three dimensional (3D) model of an object is depicted in a two dimensional (2D) image is disclosed, The 2D image includes associated 3D information. The method includes an operator determining a geometric […]
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Improved image analysis: maximised statistical use of geometry/shape constraints (DP130102524)
Prof. David Suter and Dr Tat-Jun Chin have been awarded a 3 year ARC Discovery Grant valued at $330,000. This project will improve image analysis to apply such applications as 3D street-scape reconstruction, synthetic inserts into video for special effects, autonomous navigation, and scene understanding. It will do so by maximally exploiting the geometry of […]
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Recognising and reconstructing objects in real time from a moving camera (DP130104413)
ACVT has been awarded a 3 year ARC Discovery Grant valued at $358,000. The CIs on the grant are Prof. Ian Reid and Dr Anthony Dick. The aim of this project is to visually understand an environment as seen from a moving camera in real time. This entails the recovery of 3D shape and the […]
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ARC Success! Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter!
Congratulations to Anton van den Hengel, Ian Reid, Anthony Dick, TJ Chin, Chunhua Shen and David Suter! Well done on the following ARC 2013 grants that were recently awarded: Prof Ian Reid and Dr Anthony Dick have secured $358,000 of ARC funding over the next three years for the below DP: Title: Recognising and reconstructing […]
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Inside Intel
Anton gave a talk at The Intel Labs in Santa Clara on Friday July 20. The talk is another in the ongoing series putting the case for developing tools for 3D User Created Content, and describing the work that the ACVT have been doing in the area.
Videotrace for Sketchfab
We’ve loaded some Videotrace models on Sketchfab, a new 3D model sharing web site, which means you can embed them in web pages: Click on the model above to spin it around.
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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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