Industrial
There are few industries in which visual computing technologies cannot contribute in some way. In manufacturing industries, for example, RIVIC researchers can help with product design, ergonomics, marketing, and much more. The ability to simulate new products and designs before they need to be fabricated can significantly reduce costs within the overall product cycle.
Projects
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Feature extraction and matching is a traditional method for shape matching and analysis.
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This project intends to explore the combination of new techniques from related research areas and state-of-the-art SFS algorithms to improve robustness and feature preservation in shape recovery from single but sophisticated real-world image.
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Automatic 3D Free Form Surface Modelling with analysis in the Frequency Space from Range Images.
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In this project we explore models and techniques for designing and controlling quantum devices and establish links between physical (quantum) device modelling, experimental system identification, model verification and quantum control.
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This project attempts to develop efficient techniques for the representation and matching of 3D shapes.
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A quantum network is a physical arrangement of spins in, say, a nano structure and the spins interact in a way specified by a coupling energy Hamiltonian.
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The development of 3D (and also 2D) statistical models of facial dynamics with applications to medical/dental, computer graphics, animation and computer vision.
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The captured either 2D or 3D data are usually unavoidably corrupted by imaging noise.
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This project is indented to provide means of comparing computer graphics results in a possibly effective and accurate way.
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3D surface registration is fundamental to many compute graphics, vision and medical applications.
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This project explores how to create bas-reliefs from 2D face photographs.
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3D models have a broad range of applications in many different areas such as engineering, biology, chemistry, medicine, entertainment and cultural heritage.
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While the laser scanning systems usually have limited field of view, the captured data from a single viewpoint can only cover a part of the area of interest.
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Technology is playing an ever-increasing role within sports, including the ability to collect substantial amounts of video data on player performance both in training and live-match scenarios.
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Virtual environments for developing training skills in rugby.