This web page provides some teaching materials and information for students willing to work on a project with me.
I am responsible for teaching the following courses:
- Introduction to Graphics (co-tought with Peter Robinson)
- Advanced Graphics (co-tought with Alex Benton)
I am happy to discuss Part II / MPhil / PhD project ideas the following areas:
- Virtual Reality (rendering and display)
- Applied visual perception
- Computational displays
- High dynamic range (displays, tone-mapping, HDR reconstruction, encoding)
- Computational photography
- Image and video processing
- Image and video quality metrics
- Computer graphics (with the focus on real-time rendering)
- Project 1: Tone-mapping for virtual reality
-  J. A. Ferwerda, S. N. Pattanaik, P. Shirley, and D. P. Greenberg, “A model of visual adaptation for realistic image synthesis,” in Proc. of SIGGRAPH ’96, 1996, pp. 249–258.
-  G. Ward-Larson, H. Rushmeier, and C. Piatko, “A Visibility Matching Tone Reproduction Operator for High Dynamic Range Scenes,” IEEE Trans. Vis. Comput. Graph., vol. 3, no. 4, pp. 291–306, 1997.
-  G. Spencer, P. Shirley, K. Zimmerman, and D. P. Greenberg, “Physically-Based Glare Effects for Digital Images,” Proc. SIGGRAPH, pp. 325–334, 1995.
-  R. Mantiuk, S. Daly, and L. Kerofsky, “Display adaptive tone mapping,” ACM Trans. Graph. (Proc. SIGGRAPH), vol. 27, no. 3, p. 68, 2008.
- Project 2: HDR merging with deghosting - low-complexity method
-  S. W. Hasinoff, F. Durand, and W. T. Freeman, “Noise-optimal capture for high dynamic range photography,” in Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on, 2010, pp. 553–560.
-  P. Sen, N. K. Kalantari, M. Yaesoubi, S. Darabi, D. B. Goldman, and E. Shechtman, “Robust patch-based hdr reconstruction of dynamic scenes,” ACM Trans. Graph., vol. 31, no. 6, p. 1, Nov. 2012.
-  J. Hu, O. Gallo, K. Pulli, and X. Sun, “HDR Deghosting: How to Deal with Saturation?,” in 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013, pp. 1163–1170.
The goal of the project is to develop better algorithms for reproducing real-world scenes (e.g. 360 panoramas or videos) using VR headsets. The project will involve designing new algorithms, programming VR headset using either OpenGL or Unity, and evaluating the proposed algorithms in experiments.
The goal of the project is to develop a low-complexity method for avoiding “ghosting” or misalignment artefacts when merging multiple exposures into a high dynamic range image (or video). The project will involve developing a Bayesian method for inferring high dynamic range pixel values.
TutorialsTutorials presented at conferences and workshops:
Tutorial: Tone mapping
The tutorial gives an overview of intents of tone-mapping, followed by the basic operations on HDR images and seveal key facts about the perception of HDR scenes. Then, the tutorial reviews the major approaches to tone mapping, such as illumination and refelectance separation, forward visual models, forward and inverse visual models, and constraint mapping problems.
This tutorial was presented as a part of the "Multi-dimensional retargeting" course at SIGGRAPH Asia 2011, Eurographics 2012, as well as a stand-alone workshop for COST Action IC1005 training school in 2012 and 2013.
The slides are available here under Creative Commons Attribution license (CC BY). If you would like to incorporate them in your own work, please add the attribution text: "Tone-mapping tutorial (C) 2013 Rafal Mantiuk".
The matlab code used in the tutorial is available here.
Tutorial: Efficient subjective evaluation: Pair-wise comparisons
- Perceptual display calibration
Rafal K. Mantiuk.
In: Displays: Fundamentals & Applications. A K Peters/CRC Press, 2016
Rolf R. Hainich and Oliver Bimber (ed.)
(publication link) (PDF)
- High Dynamic Range Video – From Acquisition to Display and Applications
In: Elsevier, 2016
Frederic Dufaux, Patrick Le Callet, Rafał K. Mantiuk and Marta Mrak (ed.)
- High dynamic range imaging
Rafal K. Mantiuk, Karol Myszkowski and Hans-Peter Sidel.
In: Wiley Encyclopedia of Electrical and Electronics Engineering. Wiley, 2015
(publication link) (PDF)
- Quality Assessment in Computer Graphics
Guillaume Lavoué and Rafal Mantiuk.
In: Visual Signal Quality Assessment, pp. 243-286. Springer, 2014
(doi) (publication link) (PDF)
- High Dynamic Range Video
Karol Myszkowski, Rafał Mantiuk and Grzegorz Krawczyk.
In: Synthesis Lectures on Computer Graphics and Animation, 5. Morgan & Claypool, 2008
(doi) (publication link) (PDF)
- HDR Image and Video Compression
In: High-Dynamic-Range (HDR) Vision, Springer Series in Advanced Microelectronics, 26. Springer, 2007
Bernd Hoefflinger (ed.)
- High-Fidelity Imaging: the computational models of the human visual
system in high dynamic range video compression, visible difference prediction
and image processing
In: PhD. Thesis, Saarland University, 2006
The tutorial explores the problem subjective quality assessment. It discusses the experiment design and statistical analysis while focusing on pair-wise comparison methods. The statistical analysis considers both statistical significance testing and psychometrical scaling.
This tutorial was presented as a part of the COST Action IC1005 HDR Workshop in 2013.
The slides are available here under Creative Commons Attribution license (CC BY). If you would like to incorporate them in your own work, please add the attribution text: "Efficient subjective evaluation tutorial (C) 2012 Rafal Mantiuk".
Books are often the best starting point when exploring new area. I contributed to the following books and chapters: