Welcome to Dr Yonghuai Liu's Homepage

You are warmly welcome to join me to do exciting research in my research areas:

3D imaging, range image registration, learning, feature extraction and matching, projective registration, non-rigid registration, motion coherence theory, uncertain reasoning, mean field annealing, Makov process, Markov random field, replicator dynamics, mean shift, entropy, weighted least squares, computational geometry, similarity, clustering and classification, segmentation, thin plate spline, approximation theory, Bayesian inference, damped harmonic motion, artificial neural network, and evolutionary computation.

My research emphasizes the application of the developed techniques in various fields:

reverse engineering, computer aided geometric design, machine vision, object recognition, robot vision, computer graphics, medical image analysis, industrial inspection, special effect creation and computer games, Internet search, and intelligent systems.

If you are interested in pursuing a PhD degree in the above fields, then please do not hesitate to contact me and discuss the details at yyl@aber.ac.uk or give me a ring through +44 1970 621688.


First supervisor for the following students

Project title: Video data analysis and selection

PhD Student: Sivapriyaa Kannappan

Funding: Departmental Overseas PhD Scholarship

Time: 2015- now

Project title: Cost-Effective Accurate 3-D Reconstruction Based on Multi-View Images for Plant Phenotyping

PhD Student: Lu Lou

Funding: Departmental Overseas PhD Scholarship

Time: 2010-2015

This project has led to the following exciting publications:

  1. Lu Lou, Yonghuai Liu, Minglan Sheng, Jiwan Han, Fiona Corke and John H. Doonan. Estimation of branch angle from 3D point cloud of plants. in Proceedings of International Conference of 3D Vision (3DV 2015). Lyon, France, 2015.
  2. Lu Lou, Yonghuai Liu, Jiwan Han and John H. Doonan. Accurate Multi- View Stereo 3D Reconstruction for Cost-effective Plant Phenotyping. in Proceedings of International Conference on Image Analysis and Recognition (ICIAR 2014), pp. 349-356. Algarve, Portugal, 2014.
  3. Lu Lou, Yonghuai Liu, Minglan Sheng, Jiwan Han and John H. Doonan. A cost-effective automatic 3D reconstruction pipeline for plants using multi-view images. Proceedings of the 15th Towards Autonomous Robotic Systems conference (TAROS 2014), pp. 221-230. Birmingham, UK, 2014.
  4. Lu Lou, Suzana Barreto, Rokas Zmuidzinavicius, Mark James Neal, Hannah M. Dee, Frdric Labrosse. Vision-Aided IMU Estimation of Attitude and Orientation for a Driverless Car. Proceedings of the 13th Towards Autonomous Robotic Systems conference (TAROS 2012), pp. 465-466. Bristol, UK, 2012.
  5. Lu Lou, Mark James Neal, Frdric Labrosse, Juan Cao. An Approach to Improving Attitude Estimation Based on Low-Cost MEMS-IMU for Mobile Robot Navigation. Proceedings of the 12th Towards Autonomous Robotic Systems conference (TAROS 2011), pp. 378-379. Sheffeld, UK, 2011.
  6. Lu Lou. 3D Reconstruction of plant from uncalibrated multi-view images. International Workshop on Image Analysis Methods for the Plant Sciences (CPIB 2013) , University of Nottingham, UK, 2-3 September 2013.
  7. Lu Lou. 3D modelling and analysis of plants. RIVIC Graduate School 2013 , Bangor University, UK, 20-21 July 2013.

Project title: 3D surface simplification and compression

PhD Student: Yitian Zhao

Funding: Departmental Overseas PhD Scholarship

Time: 2010-2013

This project has led to the following exciting publications:

  1. Yitian Zhao, Yonghuai Liu and Ziming Zeng. Using Region-based Saliency for 3D Interest Points Detection. Proceedings of 15th International Conference on Computer Analysis of Images and Patterns, 2013.
  2. Yitian Zhao, Yonghuai Liu. A MRF Based Points Sampling Method for Efficient Range Image Registration. IFRSA’s International Journal of Computing, vol. 2, no. 3, July 2012.
  3. Yitian Zhao, Yonghuai Liu, Ran Song and Min Zhang. A Retinex theory based points sampling method. International Journal of Computer Information Systems and Industrial Management Applications, vol. 5, pp 1-10, 2012.
  4. Yitian Zhao, Yonghuai Liu. Patch based saliency detection method for 3D surface simplification. Proceedings of International Conference on Pattern Recognition, 2012.
  5. Yitian Zhao Yonghuai Liu, Ran Song, Min Zhang. Extended non-local means filter for surface saliency detection. Proceedings of IEEE International Conference on Image Processing, 2012.
  6. Ran Song, Yonghuai Liu, Yitian Zhao, Ralph R. Martin, Paul L. Rosin. Conditional random field based saliency. Proceedings of IEEE International Conference on Image Processing, 2012.
  7. Yitian Zhao, Yonghuai Liu, Ran Song and Min Zhang. A Retinex theory based points sampling method. International Journal of Computer Information Systems and Industrial Management Applications, vol. 5, pp 1-10, 2012.
  8. Yitian Zhao, Yonghuai Liu, Ran Song, Min Zhang. A saliency detection based method for 3D surface simplification. Proceedings of the 36th International Conference on Acoustics, Speech and Signal Processing, 2012.
  9. Yitian Zhao, Yonghuai Liu, Kezong Song, Min Zhang, Ran Song. A Retinex theory based point sampling method. Intenational Conference on Soft Computing and Pattern Recognition, pp. 330-335, 2011.
  10. Yitian Zhao, Yonghuai Liu, Song Ran, and Min Zhang. A Retinex theory based points sampling method for mesh simplification. Proceedings of 7th International Symposium on Image and Signal Processing and Analysis (ISPA 2011). pp. 230-235, 2011. (AR=58%) (Best student paper award)
  11. Ran Song, Yonghuai Liu, Yitian Zhao, Ralph R. Martin, Paul L. Rosin. MRF-based Automatic Image Ordering and Its Application to Mosaicing. Proc. The 36th International Conference on Acoustics, Speech and Signal Processing, 2011, pp. 1549-1552 (AR=49%).

Project title: Camera calibration, data visualization, and object modelling

PhD Student: Junjie Liu

Funding: departmental overseas research students (DOS) awards scheme and Smart Light Devices, ltd

Time: 2008-2012

This project has led to the following exciting publications:

  1. Junjie Liu, Anthony Jakas, Ala Al-Obaidi, Yonghuai Liu. Practical issues and Development of Underwater 3D Laser Scanners. Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1-8, 2010.
  2. Junjie Liu Anthony Jakas, Ala Al-Obaidi, Yonghuai Liu. A comparative study of different corner detection methods. Proceedings of The 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA2009), December 15-18, 2009.
  3. Yonghuai Liu, Ala Al-Obaidi, Anthony Jakas, Junjie Liu. Accurate Camera Calibration Using the Collinearity Constraint. Proceedings of The 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA2009), December 15-18, 2009.
  4. Junjie Liu, Ningfeng Wei, Yonghuai Liu. Accurate camera calibration for 3D data acquisition: a comparative study. Robot Navigation: Strategies, Algorithms and Motion Planning, Editor: Daiki Itô, Nova Science Publishers, Inc. 2008.

Project title: Camera calibration, data visualization, and classification for industrial inspection

PhD Student: Anthony Jakas

Funding: Smart Light Devices, ltd

Time: 2008-2012

This project has led to the following exciting publications:

  1. Junjie Liu, Anthony Jakas, Ala Al-Obaidi, Yonghuai Liu. Practical issues and Development of Underwater 3D Laser Scanners. Proceedings of 15th IEEE International Conference on Emerging Technologies and Factory Automation, pp. 1-8, 2010.
  2. Junjie Liu Anthony Jakas, Ala Al-Obaidi, Yonghuai Liu. A comparative study of different corner detection methods. Proceedings of The 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA2009), December 15-18, 2009.
  3. Yonghuai Liu, Ala Al-Obaidi, Anthony Jakas, Junjie Liu. Accurate Camera Calibration Using the Collinearity Constraint. Proceedings of The 8th IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA2009), December 15-18, 2009.

Project title: Hole Filling in the Reconstructed Surface from Range Images

PhD Student: Mingxi Ni

Time: 2007-2010


Project title: Accurate and stable camera calibration for 3D data acquisition

PhD Student: Xuan Su

Time: 2006-2010

This project has led to the following exciting publications:


Project title: Accurate and Efficient Integration of Multiple Registered Range Images for the Construction of 3D Object Models

PhD Student: Hong Zhou

Time: October 2003-March 2007

Current status: he is currently a software engineer at Eutechnyx game company, Newcastle, U.K.

This project will investigate how to efficiently and accurately integrate multiple registered range images for the construction of 3D models of objects under consideration. Various existing techniques will be compared. Novel techniques will be developed.

This project has led to the following exciting publications:

  1. Hong Zhou, Yonghuai Liu, Longzhuang Li, Baogang Wei. A Clustering Approach to Free Form Surface Reconstruction from Multi-view Range Images. Image and Vision Computing, 2008.
  2. Hong Zhou, Yonghuai Liu. Accurate Integration of Multi-view Range Images Using K-Means Clustering. Pattern Recognition, vol. 41, no. 1, pp. 152-175, 2008.
  3. Hong Zhou, Yonghuai Liu. 3D Modelling from Multi-view Registered Range Images Using K-means Clustering. Proc. IEEE International Conference on Industrial Technology, 2006, India.
  4. Hong Zhou, Yonghuai Liu. A Clustering Approach to Free Form Surface Reconstruction from Multi-View Range Images. Proc. 2006 IEEE International Conference on Robotics and Biomimetics (ROBIO 2006), 2006, P.R. China.
  5. Hong Zhou, Yonghuai Liu. Flag Guided Integration of Multiple Registered Range Images. International Conference on Pattern Recognition, 2006, pp. 17-20.
  6. Yonghuai Liu, Hong Zhou, Xuan Su, Mingxin Ni, Robert J. Lloyd. Transforming Least Squares to Weighted Least Squares for Accurate Range Image Registration. Third International Symposium on 3D Data Processing, Visualization and Transmission, University of North Carolina, Chapel Hill, USA, June 14-16, 2006.
  7. Yonghuai Liu, Baogang Wei, Longzhuang Li, and Hong Zhou. Projecting Registration Error for Accurate Registration of Overlapping Range Images. Robotics and Autonomous Systems, vol. 54, no. 6, pp. 428-441, 2006.
  8. Hong Zhou, Yonghuai Liu, and Longzhuang Li. Incremental Mesh-based Integration of Registered Range Images: Robust to Registration Error and Scanning Noise. Proceedings of the Seventh Asian Conference on Computer Vision, Hyderabad, India during January 14-16, 2006, Lecture Notes in Computer Science, vol. 3851, pp. 958-968.
  9. Hong Zhou, Yonghuai Liu. Incremental point-based integration of registered multiple range images. Proc. IEEE Int. Conf. Industrial Electronics, Control and Instrumentation (IECON'05), Sheraton Capital Center, Raleigh, North Carolina, USA, November 6-10, 2005.

External supervisor for the following students

Project title: Inspection of printed circuit board.

PhD student: Andreas Panakos

University of Wales, Newport

Time: 2011-2012


Second supervisor for the following students

Project title: Mammogram image segmentation.

PhD student: Ziming Zeng

Time: 2009-2013

Project title: Feature extraction and cancer risk prediction using mammogram images.

PhD student: Edward M. Hadley

Time: 2005-2011 (Part time).

Project title: Vectorial Texture Modelling.

PhD student: James Carr

Time: 2002-2007.

Project title: Classification of Textures in Mammographic Images.

PhD student: Emma Muhimmah

Time: 2004-2007.


Disclaimer: The information provided on this and other pages by me, Yonghuai Liu (yyl@aber.ac.uk), is under my own personal responsibility and not that of Aberystwyth University. Similarly, any opinions expressed are my own and are in no way to be taken as those of AU.


Send comments to: yyl@aber.ac.uk