Publications
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Hryniowski, A. . (2018). A Content Enhancement Framework for Multi-Projector Systems.
Hu, X. ., Naiel, M. A., Azimifar, Z. ., Ben Daya, I. ., Lamm, M. ., & Fieguth, P. . (2018). Text enhancement in projected imagery. Journal of Computational Vision and Imaging Systems, 4, 3-3.
Chung, A. ., Fieguth, P. ., & Wong, A. . (2018). Nature vs. nurture: The role of environmental resources in evolutionary deep intelligence. 2018 15th Conference on Computer and Robot Vision (CRV), 368-374. IEEE.
Bello-Cerezo, R. ., Fieguth, P. ., & Bianconi, F. . (2018). LBP-motivated colour texture classification. Proceedings of the European Conference on Computer Vision (ECCV), 0-0.
Hu, X. . (2018). Content-Adaptive Non-Stationary Projector Resolution Enhancement.
Sankar, V. ., Gawish, A. ., Fieguth, P. ., & Lamm, M. . (2018). Understanding Blur and Model Learning in Projector Compensation. Journal of Computational Vision and Imaging Systems, 4, 3-3.
Carter, K. ., Haines, L. ., MacLellan, B. ., Kralj, O. ., Gawish, A. ., Fieguth, P. ., Sorbara, L. ., & Bizheva, K. K. (2017). Quantitative Analysis of Epithelial and Total Corneal Thickness in Keratoconus using Sub-Micrometer Axial Resolution Optical Coherence Tomography. Investigative Ophthalmology & Visual Science, 58, 3517-3517.
Liu, L. ., Fieguth, P. ., Guo, Y. ., Wang, X. ., & Pietikäinen, M. . (2017). Local binary features for texture classification: Taxonomy and experimental study. Pattern Recognition, 62, 135-160.
Shafiee, J. . (2017). Randomly-connected Non-Local Conditional Random Fields.