Projects

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  3D feature extraction and matching

  Feature extraction and matching is a traditional method for shape matching and analysis.

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  Advanced Shape from Shading Methods

  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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  Efficient 3D shape matching and retrieval

  This project attempts to develop efficient techniques for the representation and matching of 3D shapes.

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  Noise removal and image enhancement

  The captured either 2D or 3D data are usually unavoidably corrupted by imaging noise.

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  Point Based Modelling and Simulation - Sampling

  A low-discrepancy, blue-noise point set represents a continuous geometric object well, minimising discretisation artefacts.

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  Registration of 3D Point Clouds and Meshes: A Survey from Rigid to Non-Rigid

  3D surface registration is fundamental to many compute graphics, vision and medical applications.

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  Relief Computation using Shape-from-Shading

  This project explores how to create bas-reliefs from 2D face photographs.

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  Robust and Sensitive Methods for Non-rigid and Partial 3D Model Retrieval

  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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  Saliency detection for 3D surface reconstruction, segmentation and simplification

  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.