Xinghui Dong

I am currently pursuing my PhD degree and am fully sponsored by the Life Science Interface (LSI) scheme of Heriot-Watt university. My research is mainly focused on the estimation of perceptual texture similarity using computational texture features. The study brings together computer vision techniques and vision science knowledge. In this research, we first evaluated a large number of existing computational image feature sets on estimating perceptual texture similarity obtained from psychophysical experiments. In order to explain the inferior performance of these feature sets, two psychophysical experiments were conducted and the importance of long-range interactions to human perceptual texture similarity was indicated. We, therefore, further developed a new contour-based feature set for capturing the long-range interactions exploited by humans. I have submitted my thesis for examination at the moment.


Sep. 2010 – Now: PhD student. Texturelab, School of Mathematical and Computer Sciences, Heriot-Watt University, Edinburgh, UK

Sep. 2007 – Jun. 2010: Master. Department of Computer Science, Ocean University of China, Qingdao, China 

Aug. 2003 – Jun. 2007: Software Engineer. Qindao Hisense Network Technology Ltd. Co, Qingdao, China

Sep. 1999 – Jul. 2003: Bachelor. Department of Computer Science, Harbin University of Commerce, Harbin, China

Professional Qualifications:

Software Designer (Intermediate Technical Qualification), 2005

System Analyst (Senior Technical Qualification), 2006

Project Management Professional for Information System (Senior Technical Qualification), 2008

System Architect (Senior Technical Qualification), 2009


1.    Dong, X. and Chantler, M. J. (2014). Texture Similarity Estimation Using Contours. Proceedings of the 2014 British Machine Vision Conference (BMVC 2014).
2.    Dong, X., Methven, T. and Chantler, M. J. (2014). How Well Do Computational Features Perceptually Rank Textures? A Comparative Evaluation. Proceedings of the ACM 2014 International Conference on Multimedia Retrieval (ICMR 2014), pp. 281-288.
3.    Dong, X. and Chantler, M. J. (2013). The Importance of Long-Range Interactions to Texture Similarity. Computer Analysis of Images and Patterns, Lecture Notes in Computer Science (CAIP 2013), Vol. 8047, pp. 425-432.
4.    Clarke, A. D. F., Dong, X. and Chantler, M. J. (2012). Does Free-Sorting Provide a Good Estimate of Visual Similarity. Predicting Perceptions: The 3rd International Conference on Appearance, pp. 17-20.
5.    Clarke, A. D. F., Dong, X. and Chantler, M. (2011). Can perceptual visual texture similarity be modelled using metrics derived from free grouping experiments? Applied Vision Association (AVA), Christmas Meeting.
6.    Dong, X., Dong, J. and Wang, S. (2009). Segmentation of Chinese Postal Envelope Images for Address Block Location. Advances in Visual Computing, Lecture Notes in Computer Science (ISVC 2009), Vol. 5876, pp. 558-567.
7.    Dong, X., Dong, J. and Qu, L. (2009). Enteromorpha Detection in Aerial Images Using Support Vector Machines. Proceedings of the First IEEE Youth Conference on Information, Computing and Telecommunication (YC-ICT 2009), pp. 299-302.
8.    Dong, J., Dong, X., Mou, S. and Qin, B. (2008). Flow Visualization Based on Rendering of 3D Surface Texture. Proceedings of the 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing, Vol. 2, pp. 823-827.

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